Deep Inverse Q-learning with Constraints
–Neural Information Processing Systems
Popular Maximum Entropy Inverse Reinforcement Learning approaches require the computation of expected state visitation frequencies for the optimal policy under an estimate of the reward function.
Neural Information Processing Systems
Aug-15-2025, 14:08:00 GMT
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