most citedMaximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 4 cited

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Siliang Zeng, Chenliang Li, Alfredo Garcia +1

Inverse reinforcement learning (IRL) aims to recover the reward function and the associated optimal policy that best fits observed sequences of states and actions implemented by an…