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09/15/2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
We consider a Bayesian approach to offline model-based inverse reinforce...
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02/15/2023
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Offline inverse reinforcement learning (Offline IRL) aims to recover the...
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10/04/2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Inverse reinforcement learning (IRL) aims to recover the reward function...
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10/04/2022
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
We consider the task of estimating a structural model of dynamic decisio...
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10/11/2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Multi-agent reinforcement learning (MARL) has attracted much research at...
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02/15/2021
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization
This paper proposes a new algorithm – the Momentum-assisted Single-times...
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06/20/2020
