Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

6 Sep 2019Lior ShaniYonathan EfroniShie Mannor

Trust region policy optimization (TRPO) is a popular and empirically successful policy search algorithm in Reinforcement Learning (RL) in which a surrogate problem, that restricts consecutive policies to be 'close' to one another, is iteratively solved. Nevertheless, TRPO has been considered a heuristic algorithm inspired by Conservative Policy Iteration (CPI)... (read more)

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