Fixed vs Dynamic Sub-transfer in Reinforcement Learning Technical report

نویسنده

  • James L. Carroll
چکیده

We survey various transfer methods in Q-learning, a type of reinforcement learning, and present a variation on fixed sub-transfer which we call dynamic sub-transfer. We describe the pros and cons of dynamic sub-transfer as compared with the other transfer methods, and we describe qualitatively the situations where this method would be preferred over the fixed version of sub-transfer.

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تاریخ انتشار 2002