22 citations · 90 across the 19 of their papers we have counts for
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cs.LG2023
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT
Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins +1
We study diverse skill discovery in reward-free environments, aiming to discover all possible skills in simple grid-world environments where prior methods have struggled to succeed…
cs.LG2023
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
Uri Sherman, Alon Cohen, Tomer Koren +1
We study regret minimization in online episodic linear Markov Decision Processes, and obtain rate-optimal regret where denotes the number of episodes.…
cs.LG2023
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
Orin Levy, Alon Cohen, Asaf Cassel +1
We present the OMG-CMDP! algorithm for regret minimization in adversarial Contextual MDPs. The algorithm operates under the minimal assumptions of realizable function class and acc…