Results 301 to 310 of about 198,528 (317)
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Competitive Reinforcement Learning
1988Abstract A crucial problem for connectionist learning schemes is how to partition the space of input vectors into useful categories for subsequent processing. Currently this partitioning is usually accomplished by unsupervised competitive learning algorithms.
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Exploration in deep reinforcement learning: A survey
Information Fusion, 2022Pawel Ladosz, Minwoo Kim, Hyondong Oh
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Deep Reinforcement Learning Verification: A Survey
ACM Computing Surveys, 2023Matthew Landers, Afsaneh Doryab
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On Normative Reinforcement Learning via Safe Reinforcement Learning
2022Emery A. Neufeld +2 more
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A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
ACM Computing Surveys, 2022Sindhu Padakandla
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
IEEE Communications Surveys and Tutorials, 2019Nguyen Cong Luong +2 more
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Reinforcement learning for building controls: The opportunities and challenges
Applied Energy, 2020Zhe Wang, Tianzhen Hong
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Reinforcement learning in robotics: A survey
International Journal of Robotics Research, 2013Jens Kober +2 more
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A review On reinforcement learning: Introduction and applications in industrial process control
Computers and Chemical Engineering, 2020Jinfeng Liu, Biao Huang
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