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Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity

Transfer learning methods for reinforcement learning (RL) domains facilitate the acquisition of new skills using previously acquired knowledge. The vast majority of existing approaches assume that the agents have the same design, e.g. same shape and action spaces... (read more)

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