Literatura académica sobre el tema "Go-explore"
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Artículos de revistas sobre el tema "Go-explore"
JCE staff. "Explore the Hidden JCE—Go Online!" Journal of Chemical Education 85, n.º 1 (enero de 2008): 27. http://dx.doi.org/10.1021/ed085p27.
Texto completoJia, Guopeng, Junzhou Huo, Fan Yang y Bowen Yang. "Latent go-explore with area as unit". Information Processing & Management 61, n.º 2 (marzo de 2024): 103582. http://dx.doi.org/10.1016/j.ipm.2023.103582.
Texto completoBenedetti, Viola, Gioele Gavazzi, Fabio Giovannelli, Riccardo Bravi, Fiorenza Giganti, Diego Minciacchi, Mario Mascalchi, Massimo Cincotta y Maria Pia Viggiano. "Mouse Tracking to Explore Motor Inhibition Processes in Go/No-Go and Stop Signal Tasks". Brain Sciences 10, n.º 7 (20 de julio de 2020): 464. http://dx.doi.org/10.3390/brainsci10070464.
Texto completoWagner, Florian. "GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge". PLOS ONE 10, n.º 11 (17 de noviembre de 2015): e0143196. http://dx.doi.org/10.1371/journal.pone.0143196.
Texto completoLiu, Muchen. "Integrating Multi-Agent Deep Deterministic Policy Gradient and Go-Explore for Enhanced Reward Optimization". Highlights in Science, Engineering and Technology 85 (13 de marzo de 2024): 403–10. http://dx.doi.org/10.54097/znrt8d63.
Texto completode, Fariasa y Claudio Airoldib. "Hexamethylenetetramine reaction with graphite oxide (GO) as a strategy to increase the thermal stability of GO: Synthesis and characterization of a compound". Journal of the Serbian Chemical Society 75, n.º 4 (2010): 497–504. http://dx.doi.org/10.2298/jsc090717018d.
Texto completoParent, Lucie. "A helical segment makes potassium channels go-go". Journal of Biological Chemistry 292, n.º 18 (5 de mayo de 2017): 7706–7. http://dx.doi.org/10.1074/jbc.h117.779298.
Texto completoAranda, K., S. de Goeas, S. Davies, M. Radcliffe y A. Christoforou. "Let's go outside: using photography to explore values and culture in mental health nursing". Journal of Psychiatric and Mental Health Nursing 22, n.º 5 (9 de marzo de 2015): 306–15. http://dx.doi.org/10.1111/jpm.12201.
Texto completoCox, Cody B. "Miles to Go: Continuing to Explore the Effects of Stereotype Threat on Older Trainees". Industrial and Organizational Psychology 7, n.º 3 (septiembre de 2014): 466–68. http://dx.doi.org/10.1111/iops.12182.
Texto completoChen, Zheyu, Huiyan Niu, Jiayin Li, Yang Zhang, Zhiyuan Zhang, Haotong Chen y Li Li. "Superamphiphobic coatings based on graphene oxide with abrasion resistant property by a simple method". Journal of Physics: Conference Series 2383, n.º 1 (1 de diciembre de 2022): 012138. http://dx.doi.org/10.1088/1742-6596/2383/1/012138.
Texto completoTesis sobre el tema "Go-explore"
Matheron, Guillaume. "Integrating motion planning into reinforcement learning to solve hard exploration problems". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS348.
Texto completoMotion planning is able to solve robotics problems much quicker than any reinforcement learning algorithm by efficiently searching for a viable trajectory. Indeed, while the main object of interest in the field of Reinforcement Learning is the behavior of an agent, Motion Planning is concerned with the geometry and properties of the state-space, and uses a different set of primitives to achieve more efficient exploration. Some of these primitives require a model of the system and are not studied in this work, others such as reset-anywhere are only available in simulated environments. In contrast, Motion Planning approaches do not benefit from the same generalization properties as the policies produced by reinforcement learning. In this thesis, we study the ways in which techniques inspired from motion planning can speed up the solving of hard exploration problems for reinforcement learning without sacrificing the advantages of model-free learning and generalization. We identify a deadlock that can occur when applying reinforcement learning to seemingly-trivial sparse-reward problems, and contribute an exploration algorithm inspired by motion planning but specifically designed for reinforcement learning environments, as well as a framework to use the collected data to train a reinforcement learning algorithm in previously-intractable scenarios
Weng, Pei-Wei y 翁培瑋. "Using Expectation-Confirmation Theory Model to Explore the Continuance Usage Intention of Pokémon GO". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/fux2y7.
Texto completo淡江大學
資訊管理學系碩士在職專班
106
Abstract Pokémon GO was released on iOS and Android platforms in July 2016. This mobile game provides players to catch, battle, train, and deal virtual creatures “Pokémon” in the real-world locations. Unfortunately, the population of worldwide daily active players kept decreasing after collecting all the first generation of Pokémon. However, Pokémon GO was added the second generation of Pokémon in February 2017. The aim was to increase players’ continuance usage intention by enriching the game. The study was conducted by surveys, say total 154 pieces of valid questionnaires. The objects are the users of Pokémon GO. And the surveys were included not only the confirmation and satisfaction of Expectation-Confirmation Theory Model to find out their influence on continuance usage. Also the perceived playfulness, perceived competition, and the perceived usefulness of Technology acceptance model to find out their behavior of continuance usage. The study was trying to understand the main factor for continuance usage from the analysis results. The results of the study indicated that “confirmation” is a significant positive effect on “satisfaction”, “perceived playfulness”, and “perceived usefulness”; and “satisfaction” and “perceived playfulness” are significant positive effects on “continuance usage intention”; also “perceived playfulness” is a significant positive effect on “satisfaction”; then “perceived competition” is a significant positive effect on “perceived playfulness”; lastly, “perceived usefulness” is not a significant effect on “continuance usage intention”. The phenomenon that the perceived usefulness effect weakly on continuance usage intention for Pokémon GO revealed that there’re playfulness and satisfaction much more than usefulness when using Pokémon GO. The theoretical contribution of this study is to provide understanding of the factors that affect the use of Pokémon GO. It was also found that there’s a management meaning. The platform manager of Pokémon GO can increase users’ continuance usage intention by taking advantage of different factors. And based on different groups’ characters, the management level can release the interesting items for them or provide more inspects of services. For example, designing a function with social entertainment allow users to interaction by online chatting while playing the game; and raising users’ behavior intention by abundant contents.
Lai, Yan-Rong y 賴彥蓉. "Using Social Media Analytics to Explore User Comments’ Topics: A Case Study of Pokémon GO". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v8w77e.
Texto completo國立中興大學
科技管理研究所
106
The flourish of Internet leads to the rise of social media. Nowadays, social media plays an important role in business, because companies can obtain the critical information from user-generated content in social media. Therefore, social media analytics becomes a hot research area. However, while the user-generated content in social media has been extensively investigated, the official posts is relatively unexplored. Also, the integration of sentiment analysis and hot/cold topic analysis has not been applied in social media yet. Thus, this research scrawls 247 posts and 450,000 comments from the Facebook fan page of augmented reality game - Pokémon GO. Latent Dirichlet Allocation (LDA), an unsupervised machine learning method, is used to analyze key topics of official posts and user comments, respectively. Further, sentiment analysis and hot/cold topic analysis are applied to understand the trend of topics and the user’s emotional attitude toward the topics. The research results reveal that the topics, such as the location allocation problem, mobile device and compatibility issues, dressing function and storage space in games, are not found in official posts, but in user comments. In addition, the hot topic analysis is used to find that users put more focus on the topics such as the compensation of activities omission, request for the battle system improvement, and the login problem. Finally, the sentiment score is calculated for each topic and then integrate the results of hot/cold topic analysis and sentiment analysis. The results show that the topics, such as the compensation of activities omission, request for new battle mode, and the dysfunction of radar, are the most important issues which need to be improved. The research findings can also be used for improving other augmented reality games.
Libros sobre el tema "Go-explore"
Phonics reading program: Let's go and explore! New York: Scholastic Inc., 2007.
Buscar texto completoDeborah, Kaufman, Stallings Douglas y Fodor's Travel Publications Inc, eds. Fodor's Eastern and Central Europe: The guide for all budgets -- completely updated -- where to stay, eat, and explore -- on and off the beaten path -- when to go, what to pack -- maps, travel tips, and web sites. 2a ed. New York: Fodor's, 2003.
Buscar texto completoLets Explore: Make It Go. Ramboro Books PLC, 1998.
Buscar texto completoBritain Map: Let's Go and Explore. British Tourist Authority, 2005.
Buscar texto completoEvans, David. Make it go (Let's explore science). Dorling Kindersley, 1993.
Buscar texto completoMake It Go (Let's Explore Science). Dorling Kindersley Publishers Ltd, 1992.
Buscar texto completoMake It Go (Let's Explore Science). Scholastic, 1992.
Buscar texto completoEvans, Doris. Let's Explore the Desert Family Go Guide! (Family Go Guide) (Family Go Guide). Arizona-Sonora Desert Museum Pr, 2001.
Buscar texto completoStaff, Explore Australia. Go Explore Brisbane: Themed Walks and Adventures. Hardie Grant Publishing, 2011.
Buscar texto completoGuney, Tarik. Hands-On Go Programming: Explore Go by solving real-world challenges. Packt Publishing, 2018.
Buscar texto completoCapítulos de libros sobre el tema "Go-explore"
Lu, Junlin, Patrick Mannion y Karl Mason. "Go-Explore for Residential Energy Management". En Communications in Computer and Information Science, 133–39. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50485-3_11.
Texto completoMandali, Alekhya, S. Akila Parvathy Dharshini y V. Srinivasa Chakravarthy. "Go-Explore-NoGo (GEN) Paradigm in Decision Making—A Multimodel Approach". En Computational Neuroscience Models of the Basal Ganglia, 153–66. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_9.
Texto completoKlopfenstein, Lorenz Cuno y Matteo Di Lorenzi. "Go to Chapter X to Explore Interactive Narrative on Smart Assistants". En Chatbot Research and Design, 145–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68288-0_10.
Texto completoZhang, Chenyang. "Some Basic Concepts and Systems". En Win in Chinese Courts, 1–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3342-6_1.
Texto completoAkkermans, Hans. "The Social Responsibilities of Scientists and Technologists in the Digital Age". En Introduction to Digital Humanism, 65–81. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45304-5_5.
Texto completoGriffith, Aaron M. y Arash Naraghi. "Randomness and Providence: Defining the Problem(s)". En Abrahamic Reflections on Randomness and Providence, 29–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75797-7_3.
Texto completoSydes, Michelle y Rebecca Wickes. "The Land of the ‘Fair Go’? Mapping Income Inequality and Socioeconomic Segregation Across Melbourne Neighbourhoods". En The Urban Book Series, 229–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_12.
Texto completoGarnett, Emma y Srishti Bhatnagar. "Figuring Out Exposure: Exploring Computational Environments and Personalisation in Interdisciplinary Air Pollution Research". En Figure, 197–219. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2476-7_10.
Texto completoChoe, Ja Young. "US tourists' food neophobia and their local food experiences in France and Italy." En Tourism marketing in Western Europe, 147–68. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248753.0008.
Texto completoMoore, Trivess y Andréanne Doyon. "Current Housing Provision". En A Transition to Sustainable Housing, 31–60. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2760-9_2.
Texto completoActas de conferencias sobre el tema "Go-explore"
Koren, Mark y Mykel J. Kochenderfer. "Adaptive Stress Testing without Domain Heuristics using Go-Explore". En 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294729.
Texto completoSheidlower, Isaac S. y Elaine Schaertl Short. "When Oracles Go Wrong: Using Preferences as a Means to Explore". En HRI '21: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3434074.3447189.
Texto completoYang, Zhao, Thomas Moerland, Mike Preuss y Aske Plaat. "First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation". En 15th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011612800003393.
Texto completoChou, Suzanne, Mojtaba Arezoomand, Marianna J. Coulentianos, Kowit Nambunmee, Richard Neitzel, Achyuta Adhvaryu y Jesse Austin-Breneman. "The Stakeholder Agreement Metric (SAM): Quantifying Preference Agreement Between Product Stakeholders". En ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22138.
Texto completoZheng, Vincent W. "Engineering Graph Features via Network Functional Blocks". En 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.2018/822.
Texto completoVergote, David y Martine Pellerin. "ENGAGING LEARNERS WITH A NEW BILINGUAL LEARNING ENVIRONMENT TO EXPLORE HUMAN ANATOMY: AN ITERATIVE DEVELOPMENT PROCESS TO GO FROM INTERACTING WITH 2D IMAGES TO IMMERSIVE VIRTUAL REALITY". En 17th International Technology, Education and Development Conference. IATED, 2023. http://dx.doi.org/10.21125/inted.2023.1366.
Texto completoEckhardt, Bartley, Daniel Fridline y Richard Burke. "Technical Analysis of Ocean Towing Evolutions". En SNAME Maritime Convention. SNAME, 2021. http://dx.doi.org/10.5957/smc-2021-130.
Texto completoShah, Amip, Cullen Bash, Ratnesh Sharma, Tom Christian, Brian J. Watson y Chandrakant Patel. "The Environmental Footprint of Data Centers". En ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability. ASMEDC, 2009. http://dx.doi.org/10.1115/interpack2009-89036.
Texto completoGoshayeshisafa, Narges. "Traces of Memory, Footprints of Material". En 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003140.
Texto completoJefferson, Michael y Suzanne Lettieri. "Lo-Res: Architectural Strategies of Localized Resilience". En 2016 ACSA International Conference. ACSA Press, 2016. http://dx.doi.org/10.35483/acsa.intl.2016.45.
Texto completoInformes sobre el tema "Go-explore"
Marti-Arbona, Ricardo. Where can you go from here? Explore unusual STEM opportunities, Science has NO LIMITS. Office of Scientific and Technical Information (OSTI), octubre de 2022. http://dx.doi.org/10.2172/1893647.
Texto completoMartínez Villarreal, Déborah, Cristina Parilli, Carlos Scartascini y Alberto Simpser. Research Insights: Unintended Byproducts of News Coverage about Noncompliance: A Social Norms Exploration. Inter-American Development Bank, mayo de 2021. http://dx.doi.org/10.18235/0003256.
Texto completoDiBenedetti, Dana B., T. Michelle Brown, Carla Romano, Claire Ervin, Sandy Lewis y Sheri Fehnel. Conducting Patient Interviews Within a Clinical Trial Setting. RTI Press, agosto de 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0054.1808.
Texto completoGarcía-Rojas, Karen, Paula Herrera-Idárraga, Leonardo Fabio Morales, Natalia Ramírez-Bustamante y Ana María Tribín-Uribe. (She)cession: The Colombian female staircase fall. Banco de la República de Colombia, noviembre de 2020. http://dx.doi.org/10.32468/be.1140.
Texto completoCavatorta, Elisa y Orazio Attanasio. Innovations in measurement and the evaluation of human behaviour. Centre for Excellence and Development Impact and Learning (CEDIL), noviembre de 2022. http://dx.doi.org/10.51744/cmb9.
Texto completoCanêdo-Pinheiro, Mauricio, Filipe Lage de Sousa y Bernardo Pereira Cabral. Interplay Between Innovation Barriers and Cooperation in Latin America: Lessons for Public Policy. Inter-American Development Bank, marzo de 2024. http://dx.doi.org/10.18235/0005674.
Texto completoDiprose, Rachael, Amalinda Savirani, Annisa Sabrina Hartoto y Ken M. P. Setiawan. Pathways of Change through Women’s Collective Action: How Women are Overcoming Barriers and Bucking Trends to Influence Rural Development in Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124329.
Texto completoDiprose, Rachael, Amalinda Savirani, Annisa Sabrina Hartoto y Ken M. P. Setiawan. Pathways of Change through Women’s Collective Action: How Women are Overcoming Barriers and Bucking Trends to Influence Rural Development in Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124329.
Texto completoCannon, Mariah y Pauline Oosterhoff. Tired and Trapped: Life Stories from Cotton Millworkers in Tamil Nadu. Institute of Development Studies, marzo de 2021. http://dx.doi.org/10.19088/clarissa.2021.002.
Texto completoGroeneveld, Caspar, Elia Kibga y Tom Kaye. Deploying an e-Learning Environment in Zanzibar: Feasibility Assessment. EdTech Hub, julio de 2020. http://dx.doi.org/10.53832/edtechhub.0028.
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