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Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D?Eramo, Jan Peters and Joni Pajarinen
Reinforcement learning with sparse rewards is still an open challenge. Classic methods rely on getting feedback via extrinsic rewards to train the agent, and in situations where this occurs very rarely the agent learns slowly or cannot learn at all. Simi...
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Mohammed Hossny, Julie Iskander, Mohamed Attia, Khaled Saleh and Ahmed Abobakr
Continuous action spaces impose a serious challenge for reinforcement learning agents. While several off-policy reinforcement learning algorithms provide a universal solution to continuous control problems, the real challenge lies in the fact that differ...
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