
Local simulator access enables sample-efficient reinforcement learning for MDPs with low coverability, including challenging settings like Exogenous Block MDPs, using only realizability of the optimal state-value function.


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efficient-reinforcement-learning-with-local-simulator-access-unlocking-sample-efficient-learning-for-challenging-mdps


Efficient Reinforcement Learning with Local Simulator Access: Unlocking Sample-Efficient Learning for Challenging MDPs
