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Autor:
Kumar, Navneet Madhu
Exploration is a difficult challenge in reinforcement learning and is of prime importance in sparse reward environments. However, many of the state of the art deep reinforcement learning algorithms, that rely on epsilon-greedy, fail on these environm
Externí odkaz:
http://arxiv.org/abs/1810.05533
