On-policy concurrent reinforcement learning

DOI10.1080/09528130412331297956zbMath1066.68106OpenAlexW1972847450WikidataQ113437934 ScholiaQ113437934MaRDI QIDQ4670596

Jing Peng, Bikramjit Banerjee, Sandip Sen

Publication date: 22 April 2005

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09528130412331297956

zbMATH Keywords

multi-agent learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of software (68N99)

Cites Work

• Fast online \(Q(\lambda)\)
• Convergence results for single-step on-policy reinforcement-learning algorithms
• Multiagent learning using a variable learning rate
• \({\mathcal Q}\)-learning
• Two-person nonzero-sum games and quadratic programming
• Non-cooperative games
• An analysis of temporal-difference learning with function approximation

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