No regrets about no-regret

DOI10.1016/j.artint.2006.12.007zbMath1168.68452OpenAlexW2123085572MaRDI QIDQ1028930

Yu-Han Chang

Publication date: 9 July 2009

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2006.12.007

zbMATH Keywords

game theorymulti-agent learningregret-minimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Rationality and learning in game theory (91A26)

Related Items (1)

Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning

Cites Work

• Near-optimal reinforcement learning in polynomial time
• Adaptive game playing using multiplicative weights
• The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes
• Unnamed Item

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