Academic literature on the topic 'RL ALGORITHMS'
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Journal articles on the topic "RL ALGORITHMS"
Lahande, Prathamesh, Parag Kaveri, and Jatinderkumar Saini. "Reinforcement Learning for Reducing the Interruptions and Increasing Fault Tolerance in the Cloud Environment." Informatics 10, no. 3 (2023): 64. http://dx.doi.org/10.3390/informatics10030064.
Full textTrella, Anna L., Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, and Susan A. Murphy. "Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines." Algorithms 15, no. 8 (2022): 255. http://dx.doi.org/10.3390/a15080255.
Full textRodríguez Sánchez, Francisco, Ildeberto Santos-Ruiz, Joaquín Domínguez-Zenteno, and Francisco Ronay López-Estrada. "Control Applications Using Reinforcement Learning: An Overview." Memorias del Congreso Nacional de Control Automático 5, no. 1 (2022): 67–72. http://dx.doi.org/10.58571/cnca.amca.2022.019.
Full textAbbass, Mahmoud Abdelkader Bashery, and Hyun-Soo Kang. "Drone Elevation Control Based on Python-Unity Integrated Framework for Reinforcement Learning Applications." Drones 7, no. 4 (2023): 225. http://dx.doi.org/10.3390/drones7040225.
Full textMann, Timothy, and Yoonsuck Choe. "Scaling Up Reinforcement Learning through Targeted Exploration." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 435–40. http://dx.doi.org/10.1609/aaai.v25i1.7929.
Full textCheng, Richard, Gábor Orosz, Richard M. Murray, and Joel W. Burdick. "End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3387–95. http://dx.doi.org/10.1609/aaai.v33i01.33013387.
Full textKirsch, Louis, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, and Yutian Chen. "Introducing Symmetries to Black Box Meta Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (2022): 7202–10. http://dx.doi.org/10.1609/aaai.v36i7.20681.
Full textKim, Hyun-Su, and Uksun Kim. "Development of a Control Algorithm for a Semi-Active Mid-Story Isolation System Using Reinforcement Learning." Applied Sciences 13, no. 4 (2023): 2053. http://dx.doi.org/10.3390/app13042053.
Full textPrakash, Kritika, Fiza Husain, Praveen Paruchuri, and Sujit Gujar. "How Private Is Your RL Policy? An Inverse RL Based Analysis Framework." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (2022): 8009–16. http://dx.doi.org/10.1609/aaai.v36i7.20772.
Full textNiazi, Abdolkarim, Norizah Redzuan, Raja Ishak Raja Hamzah, and Sara Esfandiari. "Improvement on Supporting Machine Learning Algorithm for Solving Problem in Immediate Decision Making." Advanced Materials Research 566 (September 2012): 572–79. http://dx.doi.org/10.4028/www.scientific.net/amr.566.572.
Full textDissertations / Theses on the topic "RL ALGORITHMS"
Marcus, Elwin. "Simulating market maker behaviour using Deep Reinforcement Learning to understand market microstructure." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240682.
Full textALI, FAIZ MOHAMMAD. "CART POLE SYSTEM ANALYSIS AND CONTROL USING MACHINE LEARNING ALGORITHMS." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19298.
Full textBook chapters on the topic "RL ALGORITHMS"
Ahlawat, Samit. "Recent RL Algorithms." In Reinforcement Learning for Finance. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8835-1_6.
Full textNandy, Abhishek, and Manisha Biswas. "RL Theory and Algorithms." In Reinforcement Learning. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3285-9_2.
Full textHahn, Ernst Moritz, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, and Dominik Wojtczak. "Mungojerrie: Linear-Time Objectives in Model-Free Reinforcement Learning." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30823-9_27.
Full textRamponi, Giorgia. "Learning in the Presence of Multiple Agents." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_8.
Full textMetelli, Alberto Maria. "Configurable Environments in Reinforcement Learning: An Overview." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_9.
Full textGros, Timo P., Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Maximilian A. Köhl, and Verena Wolf. "MoGym: Using Formal Models for Training and Verifying Decision-making Agents." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_21.
Full textDu, Huaiyu, and Rafał Jóźwiak. "Representation of Observations in Reinforcement Learning for Playing Arcade Fighting Game." In Digital Interaction and Machine Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_5.
Full textBugaenko, Andrey A. "Replacing the Reinforcement Learning (RL) to the Auto Reinforcement Learning (AutoRL) Algorithms to Find the Optimal Structure of Business Processes in the Bank." In Software Engineering Application in Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90318-3_2.
Full textWang, Dasong, and Roland Snooks. "Artificial Intuitions of Generative Design: An Approach Based on Reinforcement Learning." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_18.
Full textZhang, Sizhe, Haitao Wang, Jian Wen, and Hejun Wu. "A Deep RL Algorithm for Location Optimization of Regional Express Distribution Center Using IoT Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0416-7_38.
Full textConference papers on the topic "RL ALGORITHMS"
Simão, Thiago D. "Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/919.
Full textChrabąszcz, Patryk, Ilya Loshchilov, and Frank Hutter. "Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/197.
Full textArusoaie, Andrei, David Nowak, Vlad Rusu, and Dorel Lucanu. "A Certified Procedure for RL Verification." In 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2017. http://dx.doi.org/10.1109/synasc.2017.00031.
Full textGajane, Pratik, Peter Auer, and Ronald Ortner. "Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/413.
Full textLin, Zichuan, Tianqi Zhao, Guangwen Yang, and Lintao Zhang. "Episodic Memory Deep Q-Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/337.
Full textMartin, Jarryd, Suraj Narayanan S., Tom Everitt, and Marcus Hutter. "Count-Based Exploration in Feature Space for Reinforcement Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/344.
Full textDa Silva, Felipe Leno, and Anna Helena Reali Costa. "Methods and Algorithms for Knowledge Reuse in Multiagent Reinforcement Learning." In Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/ctd.2020.11360.
Full textGao, Yang, Christian M. Meyer, Mohsen Mesgar, and Iryna Gurevych. "Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/326.
Full textZhao, Enmin, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, and Junliang Xing. "Potential Driven Reinforcement Learning for Hard Exploration Tasks." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/290.
Full textSarafian, Elad, Aviv Tamar, and Sarit Kraus. "Constrained Policy Improvement for Efficient Reinforcement Learning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/396.
Full textReports on the topic "RL ALGORITHMS"
A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning. SAE International, 2020. http://dx.doi.org/10.4271/2020-01-5154.
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