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Programmable reinforcement learning agents
Programmable reinforcement learning agents, pp.1019-1025, (2003)
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This dissertation examines the use of partial programming as a means of designing agents for large Markov Decision Problems. In this approach, a programmer specifies only that which they know to be correct and the system then learns the rest from experience using reinforcement learning. In contrast to previous low-level languages for part...更多
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