Classification-based Approximate Policy Iteration: Experiments and Extended Discussions

Tackling large approximate dynamic programming or reinforcement learning problems requires methods that can exploit regularities, or intrinsic structure, of the problem in hand. Most current methods are geared towards exploiting the regularities of either the value function or the policy... (read more)

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