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semanticscholar.org
[PDF] Continuous control with deep reinforcement learning | Semantic Scholar
This work presents an actor-critic, model-free algorithm based on the deterministic policy gradient that can operate over continuous action spaces, and demonstrates that for many of the tasks the algorithm can learn policies end-to-end: directly from raw pixel inputs. We adapt the ideas underlying the success of Deep Q-Learning to the ...
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