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ENTITY Self-Imitation Learning via Generalized Lower Bound Q-learning

Self-Imitation Learning via Generalized Lower Bound Q-learning

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    New Optimistic Policy Regularization boosts RL agent performance on Atari games

    Researchers have introduced Optimistic Policy Regularization (OPR), a novel method to enhance reinforcement learning agents by incorporating rare, high-return episodes as a reward bonus. This technique, a simple modific…