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MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Model-based offline reinforcement learning methods (RL) have achieved state-of-the-art performance in many decision-making problems thanks to their sample efficiency and generalizability.
A Policy Gradient Method for Confounded POMDPs
To the best of our knowledge, this is the first work studying the policy gradient method for POMDPs under the offline setting.
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