22 citations · 90 across the 19 of their papers we have counts for
21 papers
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…
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.…
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…
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…
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Cassel, Alon Cohen, Tomer Koren
We consider the problem of controlling an unknown linear dynamical system under adversarially changing convex costs and full feedback of both the state and cost function. We presen…
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics
Asaf Cassel, Alon Cohen, Tomer Koren
We consider the problem of controlling an unknown linear dynamical system under a stochastic convex cost and full feedback of both the state and cost function. We present a computa…