most citedInverse Reinforcement Learning with the Average Reward Criterion

4 citations · 10 across the 3 of their papers we have counts for

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cs.LG2023★ 4 cited

Inverse Reinforcement Learning with the Average Reward Criterion

Feiyang Wu, Jingyang Ke, Anqi Wu

We study the problem of Inverse Reinforcement Learning (IRL) with an average-reward criterion. The goal is to recover an unknown policy and a reward function when the agent only ha…

cs.LG2022★ 2 cited

Stochastic first-order methods for average-reward Markov decision processes

Tianjiao Li, Feiyang Wu, Guanghui Lan

We study average-reward Markov decision processes (AMDPs) and develop novel first-order methods with strong theoretical guarantees for both policy optimization and policy evaluatio…