Zero-shot policy generation in lifelong reinforcement learning
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DOI: 10.1016/j.neucom.2021.02.058
Abstract: Abstract Lifelong reinforcement learning (LRL) is an important approach to achieve continual lifelong learning of multiple reinforcement learning tasks. The two major methods used in LRL are task decomposition and policy knowledge extraction. Policy knowledge… read more here.
Keywords: reinforcement learning; zero shot; policy; knowledge ... See more keywords