Continuous control with deep reinforcement learning

9 Sep 2015Timothy P. LillicrapJonathan J. HuntAlexander PritzelNicolas HeessTom ErezYuval TassaDavid SilverDaan Wierstra

We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-free algorithm based on the deterministic policy gradient that can operate over continuous action spaces... (read more)

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