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Parameterised actions in reinforcement learning are composed of discrete actions with continuous action-parameters. This provides a framework for solving complex domains that require combining high-level actions with flexible control. The recent P-DQ
Externí odkaz:
http://arxiv.org/abs/1905.04388
