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stat.ML2022★ 1 cited
Offline Policy Evaluation and Optimization under Confounding
Chinmaya Kausik, Yangyi Lu, Kevin Tan +3
Evaluating and optimizing policies in the presence of unobserved confounders is a problem of growing interest in offline reinforcement learning. Using conventional methods for offl…
stat.ML2022
Learning Mixtures of Markov Chains and MDPs
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
We present an algorithm for learning mixtures of Markov chains and Markov decision processes (MDPs) from short unlabeled trajectories. Specifically, our method handles mixtures of…