ILQ clips model-imagined values of out-of-distribution actions at the maximum behavior value to limit optimism, reporting strong D4RL results, but its contraction proof is incorrect.
Off-policy deep reinforcement learning without exploration
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Imagination-Limited Q-Learning for Offline Reinforcement Learning
ILQ clips model-imagined values of out-of-distribution actions at the maximum behavior value to limit optimism, reporting strong D4RL results, but its contraction proof is incorrect.