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Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization

Meta Reinforcement Learning (Meta-RL) has seen substantial advancements recently. In particular, off-policy methods were developed to improve the data efficiency of Meta-RL techniques. Probabilistic embeddings for actor-critic \boldsymbol{RL}\boldsymbol{RL} (PEARL) is a leading approach for multi-MD…