Policy Gradient Methods for Reinforcement Learning with ...

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Richard S. Sutton, David McAllester, Satinder Singh, Yishay Mansour AT&T Labs { Research, 180 Park Avenue, Florham Park, NJ 07932 Abstract Function approximation is essential to reinforcement learning, but the standard approach of approximating a value function and deter-mining a policy from it has so far proven theoretically intractable.

  Methods, Learning, Reinforcement, Derating, Sutton, Gradient methods for reinforcement learning