Injecting noise-perturbed actions into offline Q-learning with a distance penalty improves D4RL performance over IQL and TD3 baselines, formalized as Q-learning in a Noisy Action MDP.
Uncertainty-based offline reinforcement learning with diversified q-ensemble
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Offline Reinforcement Learning with Penalized Action Noise Injection
Injecting noise-perturbed actions into offline Q-learning with a distance penalty improves D4RL performance over IQL and TD3 baselines, formalized as Q-learning in a Noisy Action MDP.