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cs.LG2022
Eluder-based Regret for Stochastic Contextual MDPs
Orin Levy, Asaf Cassel, Alon Cohen +1
We present the E-UCRL algorithm for regret minimization in Stochastic Contextual Markov Decision Processes (CMDPs). The algorithm operates under the minimal assumptions of real…
cs.LG2022★ 1 cited
Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP
Orin Levy, Yishay Mansour
We present regret minimization algorithms for stochastic contextual MDPs under minimum reachability assumption, using an access to an offline least square regression oracle. We ana…
cs.LG2022★ 1 cited
Learning Efficiently Function Approximation for Contextual MDP
Orin Levy, Yishay Mansour
We study learning contextual MDPs using a function approximation for both the rewards and the dynamics. We consider both the case that the dynamics dependent or independent of the…