Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

标题
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model
作者
关键词
Sample complexity, Markov decision processes, Reinforcement learning, Learning theory
出版物
MACHINE LEARNING
Volume 91, Issue 3, Pages 325-349
出版商
Springer Nature
发表日期
2013-05-14
DOI
10.1007/s10994-013-5368-1

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