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How to Find and Reuse Policies for Continuous Adaptation in Lifelong Reinforcement Learning
In lifelong reinforcement learning, retaining previously learned policies is not sufficient for effective transfer to a new task. Useful knowledge may be distributed across several prior policies, and its relevance may change as the learner acquires experience. One hypothesis is that task similarity
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