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Building portable options: skill transfer in reinforcement learning

IJCAI, pp.895-900, (2007)

被引用233|浏览12
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The options framework provides methods for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the problem the agent is solving, they cannot be used in other tasks that are similar but have different state spaces. We introduce the notion of learning options in...更多

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