Relevant bibliographies by topics / RL parameters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'RL parameters'

Author: Grafiati
Published: 28 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "RL parameters"

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Erdei, Éva, Pál Pepó, János Csapó, Szilárd Tóth, and Béla Szabó. "Sweet sorghum (Sorghum dochna L.) restorer lines effects on nutritional parameters of stalk juice." Acta Agraria Debreceniensis, no. 36 (November 2, 2009): 51–56. http://dx.doi.org/10.34101/actaagrar/36/2792.

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Sweet sorghum can be utilized for bioethanol production because it has high sugar content (14-17%). We determined the most important nutritional values of 5 silo type sorghum lines in waxy and full maturation. The examined restorer lines were: RL 4, RL 9, RL 15, RL 18, K 1. The following nutritional parameters were examined: dry material content, refractometric total sugar content, reducing sugar content. In waxy maturation 73.85-87.37% of dry matter in stalk juice makes the total sugar. Dry material content, total and reducing sugar content of stalkdecreases from waxy mature to full maturation.There are differences between lines in dry matter (SzD5%=0.76), total sugar (SzD5%=0.79), reducing sugar content (SzD5%=0.30). RL 4 performed a decrease in total sugar content from 10.07% to 10.02% during this period, reducing sugar also decreased from 4.01% to 2.47%. RL 9 performed a decrease in total sugar content from 11.76% to 11.08% during this period. Reducing sugar also decreased from 3.17% to 2.01% in the waxymaturation. RL 15 showed a total sugar content decrease from 15.43 % to 15.36%. The reducing sugar also decreased from 3.23% to 1.71% in waxy maturation. In RL 18 total mean sugar content during waxy maturation was 13.78% which dropped to 13.26% approaching full maturation. Reducing sugar also decreased from 4.11% to 2.23% in waxy mature. K 1 performed a decrease in total sugar content from 9.35% to 6.15% during this period, while reducing sugar also decreased from 1.52% to 0.77%. These lines upcoming for experiments are perspectives since having excellent stalk juice nutritional parameters they are of great or very great height and their stalks are thick-very thick, stalk medullas are wet.
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Wang, Lei, Atsushi Sekimoto, Yuto Takehara, Yasunori Okano, Toru Ujihara, and Sadik Dost. "Optimal Control of SiC Crystal Growth in the RF-TSSG System Using Reinforcement Learning." Crystals 10, no. 9 (September 7, 2020): 791. http://dx.doi.org/10.3390/cryst10090791.

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We have developed a reinforcement learning (RL) model to control the melt flow in the radio frequency (RF) top-seeded solution growth (TSSG) process for growing more uniform SiC crystals with a higher growth rate. In the study, the electromagnetic field (EM) strength is controlled by the RL model to weaken the influence of Marangoni convection. The RL model is trained through a two-dimensional (2D) numerical simulation of the TSSG process. As a result, the growth rate under the control of the RL model is improved significantly. The optimized RF-coil parameters based on the control strategy for the 2D melt flow are used in a three-dimensional (3D) numerical simulation for model validation, which predicts a higher and more uniform growth rate. It is shown that the present RL model can significantly reduce the development cost and offers a useful means of finding the optimal RF-coil parameters.
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Moriyama, Takumi, Ryosuke Koishi, Kouhei Kimura, Satoru Kishida, and Kentaro Kinoshita. "Extraction of Filament Properties in Resistive Random Access Memory (ReRAM) Consisting of Binary-Transition-Metal-Oxides." Advances in Science and Technology 95 (October 2014): 84–90. http://dx.doi.org/10.4028/www.scientific.net/ast.95.84.

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Which parameter dominantly decides the value of time required to reset ReRAM (treset) among possible parameters, the value of a low resistance (RL), voltage to induce reset (Vreset), and temperature to induce reset (Treset)? Although to answer this question is important to achieve faster resistive switching, detailed correlations between the parameters are still unclear. In this paper, we extracted treset, Vreset, RL and Treset at the same time by combining two electrical measurements. As a result, we found a clear correlation between Vreset, RL, and Treset, meaning that each parameter can not be controlled independently. Tresetincreases not only with increasing Vresetbut also with increasing RL, which suggests the necessity of introducing ununiformly-shaped filamens and resistive switching takes place at the narrowing part of the filament.
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Khlebnikova, D. A., A. A. Lobova, O. N. Aladina, and M. Yu Cherednichenko. "The impact of light spectral composition on the in vitro growth of summer savory (Satureja hortensis L.) plants." Vegetable crops of Russia, no. 6 (December 18, 2019): 72–75. http://dx.doi.org/10.18619/2072-9146-2019-6-72-75.

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Relevance. Summer savory (Satureja hortensis L.) is an annual herbaceous plant whose essential oil and extracts are used in medicine, perfumery and the food industry.Methods. The article presents the results of studying the effect of the ratio of blue (BL) and red light (RL) in the total spectrum of LED lamps on the morphometric parameters of plants of summer savory varieties Gnom and Perechny aromat in vitro. For in vitro culture, seeds were sterilized with 5% NaCl solution for 10 minutes, placed in Petri dishes with Murashige and Skoog culture medium (MS). Aseptic seedlings at the age of 4-5 days were transplanted into tubes and transferred to racks with LED lamps (for 28 days): (1) from 1st day to 14th day 100% RL, from the 15th to the 28th day 60% RL, 40% BL; (2) 90% RL, 10% BL; (3) 60% RL and 40% BL; (4) 32% RL and 68% BL. The total illumination intensity in all variants was 175 μmol/m2 s.Results. It was found that a change in the RL:BL ratio in the total spectrum affects the morphometric parameters of the savory plants in an in vitro culture. When cultivated under 100% RL, tall plants with long internodes and small leaves are formed, a reduction in the share of RL to 60...32% results in more short-growing plants with large leaves. The results of this work can be used to develop the technology of clonal micropropagation of valuable breeding forms, as well as to create source material for breeding by in vitro culture methods.
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Lu, Chao, Jie Huang, and Jianwei Gong. "Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters." PROMET - Traffic&Transportation 28, no. 4 (August 31, 2016): 371–81. http://dx.doi.org/10.7307/ptt.v28i4.1830.

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Reinforcement Learning (RL) has been proposed to deal with ramp control problems under dynamic traffic conditions; however, there is a lack of sufficient research on the behaviour and impacts of different learning parameters. This paper describes a ramp control agent based on the RL mechanism and thoroughly analyzed the influence of three learning parameters; namely, learning rate, discount rate and action selection parameter on the algorithm performance. Two indices for the learning speed and convergence stability were used to measure the algorithm performance, based on which a series of simulation-based experiments were designed and conducted by using a macroscopic traffic flow model. Simulation results showed that, compared with the discount rate, the learning rate and action selection parameter made more remarkable impacts on the algorithm performance. Based on the analysis, some suggestionsabout how to select suitable parameter values that can achieve a superior performance were provided.
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Pandit, Paresh B., Kee H. Pyon, Sherry E. Courtney, Sandra E. England, and Robert H. Habib. "Lung resistance and elastance in spontaneously breathing preterm infants: effects of breathing pattern and demographics." Journal of Applied Physiology 88, no. 3 (March 1, 2000): 997–1005. http://dx.doi.org/10.1152/jappl.2000.88.3.997.

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Reported values of lung resistance (Rl) and elastance (El) in spontaneously breathing preterm neonates vary widely. We hypothesized that this variability in lung properties can be largely explained by both inter- and intrasubject variability in breathing pattern and demographics. Thirty-three neonates receiving nasal continuous positive airway pressure [weight 606–1,792 g, gestational age (GA) of 25–33 wk, 2–49 days old] were studied. Transpulmonary pressure was measured by esophageal manometry and airway flow by face mask pneumotachography. Breath-to-breath changes in Rl and El in each infant were estimated by Fourier analysis of impedance (Z) and by multiple linear regression (MLR). Rl MLR (Rl MLR = 0.85 × Rl Z −0.43; r 2= 0.95) and El MLR(El MLR = 0.97 × El Z + 8.4; r 2 = 0.98) were highly correlated to Rl Z and El Z, respectively. Both Rl(mean ± SD; Rl Z = 70 ± 38, Rl MLR = 59 ± 36 cmH2O ⋅ s ⋅ l−1) and El (El Z = 434 ± 212, El MLR = 436 ± 210 cmH2O/l) exhibited wide intra- and intersubject variability. Regardless of computation method, Rl was found to decrease as a function of weight, age, respiratory rate (RR), and tidal volume (Vt) whereas it increased as a function of RR ⋅ Vt and inspiratory-to-expiratory time ratio (Ti/Te). El decreased with increasing weight, age, Vt and female gender and increased as RR and Ti/Te increased. We conclude that accounting for the effects of breathing pattern variability and demographic parameters on estimates of Rland El is essential if they are to be of clinical value. Multivariate statistical models of Rl and Elmay facilitate the interpretation of lung mechanics measurements in spontaneously breathing infants.
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Generoso, Tarcila N., Mauro A. Martinez, Genelício C. Rocha, and Paulo J. Hamakawa. "Water magnetization and phosphorus transport parameters in the soil." Revista Brasileira de Engenharia Agrícola e Ambiental 21, no. 1 (January 2017): 9–13. http://dx.doi.org/10.1590/1807-1929/agriambi.v21n1p9-13.

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ABSTRACT There are scientific studies describing changes in properties of the water when subjected to the action of a magnetic field, which may favor the availability of some nutrients in the soil solution. Some nutrients, although they are essential to the process of crop development, can be sources of pollution for watercourses and soil. The aim of this study was to evaluate the effect of water magnetization on transport parameters of the phosphate ion in a Red Latosol (RL) and in a Quartzarenic Neosol (QN). Saturated leaching columns were connected to bottles containing KH2PO4 solutions. In RL, there were significant differences in phosphorus (P) transport parameters, related to the retardation factor (R) and distribution coefficient (Kd). For the others, Peclet number (Pe), dispersive-diffusion coefficient (D) and dispersivity (λ), there were no significant differences in the comparison between the treatments with magnetized and non-magnetized water. In QN, there were statistical differences in R and Kd. For the other parameters, Pe, D and λ, there were no statistical differences between treatments.
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Kerger, H., A. G. Tsai, D. J. Saltzman, R. M. Winslow, and M. Intaglietta. "Fluid resuscitation with O2 vs. non-O2 carriers after 2 h of hemorrhagic shock in conscious hamsters." American Journal of Physiology-Heart and Circulatory Physiology 272, no. 1 (January 1, 1997): H525—H537. http://dx.doi.org/10.1152/ajpheart.1997.272.1.h525.

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Efficacy of a cell-free o-raffinose cross-linked and oligomerized hemoglobin (Hemo-link) solution in restoring macro- and microcirculatory conditions after 2 h of hemorrhagic shock (40 mmHg) was compared with conventional treatment with autologous whole blood, Ringer lactate (RL), and Dextran 70. Studies were conducted in the dorsal skinfold microcirculation of conscious hamsters. Initial infusion was equivalent to shed blood volume (SBV) for RL and 50% of SBV for remaining solutions. After 2 h all animals received blood at 50% of SBV. Vessel diameter, functional capillary density, microvascular red blood cell velocity, and flow were measured. Arteriolar, venular, and tissue PO2 were determined by phosphorescence decay. Systemic parameters included mean arterial blood pressure, heart rate, arterial blood gases, pH, and base excess. Autologous whole blood and Hemolink, but not Dextran 70 and RL, restored mean arterial blood pressure, systemic blood gas, and metabolic parameters. Tissue PO2 recovered to 40–50% with blood and Hemolink but remained significantly lower (10-15% of control) with Dextran 70 and RL. Initial volume replacement after shock with blood or Hemolink yields equivalent macro- and microhemodynamic improvements not attainable with non-O2-carrying plasma expanders.
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Al-Rawi, Hasan A. A., Kok-Lim Alvin Yau, Hafizal Mohamad, Nordin Ramli, and Wahidah Hashim. "Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks." Scientific World Journal 2014 (2014): 1–22. http://dx.doi.org/10.1155/2014/960584.

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Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs’ network performance without significantly jeopardizing PUs’ network performance, specifically SUs’ interference to PUs.
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Wu, Kunlin, Ding Zhang, Minghua Liu, Qi Lin, and Bing-Chiuan Shiu. "A Study on the Improvement of Using Raw Lacquer and Electrospinning on Properties of PVP Nanofilms." Nanomaterials 10, no. 9 (August 31, 2020): 1723. http://dx.doi.org/10.3390/nano10091723.

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Raw lacquer (RL), ethanol being used as the solvent, was added to polyvinyl pyrrolidone (PVP) and then electrospun into RL/PVP nanofilms. Manufacturing parameters such as RL/PVP ratio, voltage, flow velocity, needle type, and the distance between syringe and the collection board were systematically investigated. A scanning electronic microscope (SEM) was used to observe the surface morphology of nanofilms; the block drop method was used to measure the water contact angle; the mechanical properties of RL/PVP nanofilms of different proportions were tested by universal material testing machine; and Fourier-transform infrared spectroscopy (FT-IR) was used to characterize the structure. Based on the water resistance and acid resistance measurements, the proposed nanofilms demonstrated to be water and acid resistant were successfully produced. The results show that PVP that melts in water becomes incompatible with water after adding raw lacquer, and the acid resistance is greatly improved. Furthermore, the smaller the fiber diameter, the better the mechanical properties of the nanofilms are under low ratio of RL/PVP. With a high proportion of RL/PVP, the inner structure of the nanofilm is denser, and the water resistance and acid resistance are better. The dense structure can protect the inner material of the nanofilms.
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Dissertations / Theses on the topic "RL parameters"

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Ledbetter, Moira Ruth. "Development of an analytical method to derive hydrophobicity parameters for use as descriptors for the prediction of the environmental and human health risk of chemicals." Thesis, Liverpool John Moores University, 2012. http://researchonline.ljmu.ac.uk/6107/.

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There is a requirement to assess the safety of chemicals to both 'man' and the environment. Traditionally this was determined through the use of animal testing. However, there is an increased need to develop alternatives to animal testing for the determination of toxicity due to ethical and legislative reasons. One approach to replacing the use of animals is the application of computational methods. These include Quantitative Structure-Activity Relationships ((Q)SARs), which are the formalisation of the relationship of the effects (e.g. toxicity) for a series of chemicals and their physico-chemical and structural properties. Most QSARs for toxicity require knowledge of a chemicals hydrophobicity. Traditionally hydrophobicity has been characterised by the logarithm of the octanol/water partition coefficient (log P). Current experimental and predictive methods are limited in terms of applicability for compounds with extreme log P values, compounds ionised under the conditions of analysis and surface active agents. An alternative technique to assess hydrophobicity is Immobilised Artificial Membrane High Performance Liquid Chromatography (IAM-HPLC). The IAM stationary phase was developed initially to mimic biological membranes more realistically than octanol/water partitioning. This study has collated published literature values for the IAM retention index (kIAM), including details of the experimental procedure, into a database. The database includes 1910 values for 647 compounds. The effect of variability of experimental procedure on reported values was investigated. Key experimental parameters were identified that ensure comparable log kIAM values. An IAM-HPLC method was optimised; the HPLC method covers a range of hydrophobicities (log P of -1.35 to 6.03) and includes both unionised and ionised compounds under the conditions of analysis. Additionally the method has been demonstrated to be robust across system of analysis, column and stationary phase batch. The assessment of robustness increases confidence in the log kIAM (pH 7.4) values for 66 aliphatic and aromatic compounds determined as part of this work. Methods to predict log klAM (pH 7.4) were investigated. Both a fragment and correction factor method, based on theoretical structural features, and a 'classical' descriptor based QSAR approach, was applied to both the experimental log kIAM (pH 7.4) values determined in this work and comparable values collated from the literature. QSARs have been developed using log klAM as a descriptor to predict the ability of a chemical to cross the skin barrier and to predict various acute aquatic toxicity endpoints, using published skin absorption and ecotoxicity data respectively.
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Main-Knorn, Magdalena. "Monitoring of forest cover change and modeling biophysical forest parameters in the Western Carpathians." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16562.

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Die Umweltveränderungen durch den Menschen sind auf unserer Erde allgegenwärtig. Entwaldung und Waldschädigung beeinflussen das System Erde entscheidend, denn Wälder bieten wichtige Ökosystemleistungen und sind Kernelement der Debatte um den Klimawandel, speziell hinsichtlich der globalen Kohlenstoffbilanz. Veränderungen der Waldbedeckung zu quantifizieren ist daher von herausragendem wissenschaftlichen Interesse. Ziel dieser Arbeit ist es, Waldbedeckungsveränderungen in den Westlichen Karpaten grenzübergreifend zu bestimmen, sowie Dynamiken der Biomasse von Nadelwäldern und deren Auswirkungen auf die oberirdische Kohlenstoffspeicherung abzuleiten. Die Karpatenwälder zeichnen sich durch ein hohes Maß an Biodiversität, einen großen Holzvorrat und als wichtiger Kohlenstoffspeicher für Europa aus. Jedoch sind diese Wälder auch geprägt von einer bewegten Geschichte der Landnutzung, hoher Luftverschmutzung und einer andauernden Waldabnahme. Mittels Methoden der Fernerkundung wurden Veränderungen in der Waldbedeckung für die Jahre 1985 bis 2010 abgeleitet. Die Ergebnisse zeigen, dass insbesondere das frühere Forstmanagement sowie die starke Luftverschmutzung zu Zeiten des Kommunismus gemeinsam die erhebliche Schädigung von Nadelwäldern bedingen. Fichtendominierte Bestände offenbaren dabei eine geringere Widerstandsfähigkeit gegenüber biotischen sowie abiotischen Belastungen, z.B. Schädlingen und Extremwettersituationen. Seit 2005 verwandelten sich die Nadelwälder infolge eines weit verbreiteten Biomasseverlustes von einer Netto-Kohlenstoffsenke in eine Netto-Kohlenstoffquelle. Die Analysen betonen den Einfluss bestimmter Standortfaktoren wie Waldtyp, vorherrschende Baumart, topographische Gegebenheiten, Brennpunkte der Umweltverschmutzung, Mikroklima und deren Interaktion auf die Waldabnahme. Die Arbeit legt eine komplexe sozio-ökologische Geschichte dar und erbringt Schätzungen über die Veränderung des oberirdischen Kohlenstoffvorrates der Wälder der Westlichen Karpaten.
Human-induced environmental change is evident across the globe. Deforestation and forest degradation are among the most critical impacts of humanity on the Earth system, as forests provide crucial ecosystem services, and are a key element in the global climate change discussion, specifically considering the global carbon balance. Therefore, monitoring and quantifying forest changes are of prime scientific interest. The main goals of this thesis were to monitor forest change across country borders in the Western Carpathians, and to assess coniferous forest biomass dynamics and their impact on aboveground forest carbon storage. Generally, Carpathian forests provide outstanding biodiversity levels, high growing stocks, and an important European carbon sink. However, the Western Carpathian forests are exceptional, with a turbulent land-use history, high airborne pollution loads, and ongoing forest decline. Forest change between 1985 and 2010 was quantified using remote sensing techniques. Results show that the synergistic effect of unsustainable forest management in the past and high pollution levels during communist times significantly damaged coniferous forests. Spruce-dominated stands exhibit lower resistance against biotic and abiotic impacts, and are more susceptible to pests and extreme weather events. Widespread biomass loss since 2005 has converted coniferous forests from a net carbon sink into a net carbon source. Cross-border analysis emphasized the role of site characteristics such as forest type, predominant species, topographic conditions, pollution hotspots, microclimate, and their interactions for forest decline. Summarizing, this thesis tells a complex socio-ecological story and provides estimates of aboveground carbon stock changes in Western Carpathian forests.
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Tomešová, Tereza. "Autonomní jednokanálový deinterleaving." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445470.

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This thesis deals with an autonomous single-channel deinterleaving. An autonomous single-channel deinterleaving is a separation of the received sequence of impulses from more than one emitter to sequences of impulses from one emitter without a human assistance. Methods used for deinterleaving could be divided into single-parameter and multiple-parameter methods according to the number of parameters used for separation. This thesis primarily deals with multi-parameter methods. As appropriate methods for an autonomous single-channel deinterleaving DBSCAN and variational bayes methods were chosen. Selected methods were adjusted for deinterleaving and implemented in programming language Python. Their efficiency is examined on simulated and real data.
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Chapariha, Mehrdad. "Modeling alternating current rotating electrical machines using constant-parameter RL-branch interfacing circuits." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45565.

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Transient simulation programs are used extensively for modeling and simulation of various electrical power and energy systems that include rotating alternating current machines as generators and motors. In simulation programs, traditionally, the machine models are expressed in qd-coordinates (rotational reference frame) and transformed variables, and the power networks are modeled in abc-phase coordinates (physical variables), which represents an interfacing problem. It has been shown in the literature that the method of interfacing machine models and the electric network models plays an important role in numerical accuracy and computational performance of the overall simulation. This research considers the state-variable-based simulation programs and proposes a unified constant-parameter decoupled RL-branch circuit in abc-phase coordinates (with optional zero-sequence). The proposed circuits are based on voltage-behind-reactance (VBR) formulation and can be used for interfacing both induction and synchronous machine models. The new models achieve a direct and explicit interface with arbitrary external electrical networks, which results in many computational advantages. Extensive computer studies are presented to verify the proposed models and to demonstrate their implementation in several commonly-used simulation programs. The new models are shown to offer significant improvements in accuracy and numerical efficiency over the existing state-of-the-art models due to their direct interface. It is further envisioned that the proposed models will receive a wide acceptance in research community and simulation software industry, and may enable the next generation of power systems simulation tools.
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Book chapters on the topic "RL parameters"

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Daneshfar, Fatemeh. "Applications of Reinforcement Learning and Bayesian Networks Algorithms to the Load-Frequency Control Problem." In Handbook of Research on Novel Soft Computing Intelligent Algorithms, 677–710. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4450-2.ch023.

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Load-Frequency Control (LFC) is an essential auxiliary service to keep the electrical system reliability at a suitable level. In addition to the regulating area frequency, the LFC system should control the net interchange power with neighboring areas at scheduled values. Therefore, a desirable LFC performance is achieved by effective adjusting of generation to minimize frequency deviation and regulate tie-line power flows. Nowadays such an LFC design is becoming much more complicated and significant due to the complexity of interconnected power systems. However, most of the LFC designs are based on conventional Proportional-Integral (PI) controllers that are tuned online by trial-and-error approaches. These conventional LFC designs are usually suitable for working at specific operating points and are not more efficient for modern and distributed power systems. These problems apply to design of intelligent LFC schemes that are more adaptive and flexible than conventional ones. The present chapter addresses the frequency regulation using Reinforcement Learning (RL) and Bayesian Networks (BNs) approaches for interconnected power systems. RL and BNs are computational learning based solutions which can adapt with environment conditions. They are a kind of Machine Learning (ML) techniques which have many applications in power system engineering. The main advantages of these intelligent-based solutions for the LFC design can be simplicity and intuitive model building that is closely based on the physical power system topology, easy incorporation of uncertainty, and dependent to the frequency response model and also to the power system parameter values.
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Conference papers on the topic "RL parameters"

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Kadlecova, Eva, Radek Kubasek, and Edita Kolarova. "RL Circuits Modeling With Noisy Parameters." In 2006 International Conference on Applied Electronics. IEEE, 2006. http://dx.doi.org/10.1109/ae.2006.4382969.

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Lossa, Geoffrey, Olivier Deblecker, and Zacharie De Greve. "Comparison of Potential Formulations for the Extraction of RL Parameters of Wound Inductor." In 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi). IEEE, 2018. http://dx.doi.org/10.1109/cemi.2018.8610625.

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Lossa, Geoffrey, Olivier Deblecker, Zacharie De Greve, and Christophe Geuzaine. "Building Fast Stochastic Surrogate Models for Extracting RL Parameters of Wound Inductors Modeled Using FEM." In 2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC). IEEE, 2020. http://dx.doi.org/10.1109/cefc46938.2020.9451442.

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Xiong, Wenhan, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, and William Yang Wang. "Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/626.

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We investigate the task of learning to interpret natural language instructions by jointly reasoning with visual observations and language inputs. Unlike current methods which start with learning from demonstrations (LfD) and then use reinforcement learning (RL) to fine-tune the model parameters, we propose a novel policy optimization algorithm which can dynamically schedule demonstration learning and RL. The proposed training paradigm provides efficient exploration and generalization beyond existing methods. Comparing to existing ensemble models, the best single model based on our proposed method tremendously decreases the execution error by 55% on a block-world environment. To further illustrate the exploration strategy of our RL algorithm, our paper includes systematic studies on the evolution of policy entropy during training.
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Krylov, Dmitrii, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, and Dmitry V. Dylov. "Reinforcement Learning Framework for Deep Brain Stimulation Study." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/394.

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Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson’s. Suppression and control of this collective synchronous activity are therefore of great importance for neuroscience, and can only rely on limited engineering trials due to the need to experiment with live human brains. We present the first Reinforcement Learning (RL) gym framework that emulates this collective behavior of neurons and allows us to find suppression parameters for the environment of synthetic degenerate models of neurons. We successfully suppress synchrony via RL for three pathological signaling regimes, characterize the framework’s stability to noise, and further remove the unwanted oscillations by engaging multiple PPO agents.
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Soares, Natália Souza, João Marcelo Xavier Natário Teixeira, and Veronica Teichrieb. "Robot training in virtual environments using Reinforcement Learning techniques." In Anais Estendidos do Simpósio de Realidade Virtual e Aumentada. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/svr_estendido.2020.12950.

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In this work, we propose a framework to train a robot in a virtual environment using Reinforcement Learning (RL) techniques and thus facilitating the use of this type of approach in robotics. With our integrated solution for virtual training, it is possible to programmatically change the environment parameters, making it easy to implement domain randomization techniques on-the-fly. We conducted experiments with a TurtleBot 2i in an indoor navigation task with static obstacle avoidance using an RL algorithm called Proximal Policy Optimization (PPO). Our results show that even though the training did not use any real data, the trained model was able to generalize to different virtual environments and real-world scenes.
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7

Yurlov, Maksim, Valerii P. Matveenko, Dmitriy A. Oshmarin, Nataliya V. Sevodina, and Nataliya A. Iurlova. "DETERMINATION OF OPTIMAL PARAMETERS FOR A PASSIVE RL-CIRCUIT BY SOLVING THE PROBLEM ON NATURAL VIBRATIONS OF ELECTROELASTIC BODIES." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.1931.7616.

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Liu, Fei-Yu, Zi-Niu Li, and Chao Qian. "Self-Guided Evolution Strategies with Historical Estimated Gradients." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/205.

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Evolution Strategies (ES) are a class of black-box optimization algorithms and have been widely applied to solve problems, e.g., in reinforcement learning (RL), where the true gradient is unavailable. ES estimate the gradient of an objective function with respect to the parameters by randomly sampling search directions and evaluating parameter perturbations in these directions. However, the gradient estimator of ES tends to have a high variance for high-dimensional optimization, thus requiring a large number of samples and making ES inefficient. In this paper, we propose a new ES algorithm SGES, which utilizes historical estimated gradients to construct a low-dimensional subspace for sampling search directions, and adjusts the importance of this subspace adaptively. We prove that the variance of the gradient estimator of SGES can be much smaller than that of Vanilla ES; meanwhile, its bias can be well bounded. Empirical results on benchmark black-box functions and a set of popular RL tasks exhibit the superior performance of SGES over state-of-the-art ES algorithms.
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Poiani, Riccardo, Andrea Tirinzoni, and Marcello Restelli. "Meta-Reinforcement Learning by Tracking Task Non-stationarity." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/399.

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Many real-world domains are subject to a structured non-stationarity which affects the agent's goals and the environmental dynamics. Meta-reinforcement learning (RL) has been shown successful for training agents that quickly adapt to related tasks. However, most of the existing meta-RL algorithms for non-stationary domains either make strong assumptions on the task generation process or require sampling from it at training time. In this paper, we propose a novel algorithm (TRIO) that optimizes for the future by explicitly tracking the task evolution through time. At training time, TRIO learns a variational module to quickly identify latent parameters from experience samples. This module is learned jointly with an optimal exploration policy that takes task uncertainty into account. At test time, TRIO tracks the evolution of the latent parameters online, hence reducing the uncertainty over future tasks and obtaining fast adaptation through the meta-learned policy. Unlike most existing methods, TRIO does not assume Markovian task-evolution processes, it does not require information about the non-stationarity at training time, and it captures complex changes undergoing in the environment. We evaluate our algorithm on different simulated problems and show it outperforms competitive baselines.
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Fang, Ning. "Computer Simulation of Three-Dimensional Chip Kinematics in Machining." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39110.

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Effective chip control is an essential requirement of modern automatic and computer numerically controlled (CNC) machining operations. This paper asserts that the study of chip control can be divided into three branches—chip dynamics, chip kinematics, and chip breaking mechanics—each having different research emphasis. Chip kinematics is becoming a promising research area, serving as an essential bridge between the other two branches. In developing the mathematical formulation of chip kinematics, this paper introduces three patterns of chip curl, i.e., up-, side-, and lateral-curl, followed by the establishment of a Cartesian coordinate system. Chip form is measured by three geometric parameters: the resultant radius R of chip curl, the pitch P of the chip helix, and the inclined angle θ of the helical axis to the helical surface. It is revealed that the final chip form is determined by four governing variables: chip up-, side-, and lateral-curl radii (Ru, Rs, and Rl) and chip side-flow angle (ηs). The effect of Ru, Rs, Rl, and ηs on chip forms is investigated. A set of new chip kinematical equations and computer-simulated chip forms are also established in this paper.
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