Results 261 to 270 of about 603,909 (294)
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Mathematical Programming, 2005
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Reinforcers and reinforcement: Their relation to maze performance.
Journal of Experimental Psychology, 1960W, BEVAN, R, ADAMSON
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1991
Sutton [in his PhD thesis] introduced a reinforcement comparison term into the equations governing certain stochastic learning automata, arguing that it should speed up learning, particularly for unbalanced reinforcement tasks. Williams's subsequent extensions [REINFORCE] to the class of algorithms demonstrated that they were all performing approximate
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Sutton [in his PhD thesis] introduced a reinforcement comparison term into the equations governing certain stochastic learning automata, arguing that it should speed up learning, particularly for unbalanced reinforcement tasks. Williams's subsequent extensions [REINFORCE] to the class of algorithms demonstrated that they were all performing approximate
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Deep Reinforcement Learning for Autonomous Driving: A Survey
IEEE Transactions on Intelligent Transportation Systems, 2022Patrick Mannion +2 more
exaly
Transfer Learning in Deep Reinforcement Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Anil Jain, Zhuangdi Zhu, Kaixiang Lin
exaly
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
IEEE Communications Surveys and Tutorials, 2021Ekram Hossain
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When Is Reinforcement Reinforcing?
Contemporary Psychology: A Journal of Reviews, 1972openaire +1 more source
Operational reinforcement and nonoperational "reinforcement": Reply to "Reinforcement for Skinner."
American Psychologist, 1971openaire +2 more sources
Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey
IEEE Communications Surveys and Tutorials, 2021Yang Xiao, Nirwan Ansari
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