96 citations · 396 across the 27 of their papers we have counts for
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cs.LG2023★ 2 cited
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai, Arushi Gupta, Wenhan Xia +2
We investigate robust model-free reinforcement learning algorithms designed for environments that may be dynamic or even adversarial. Traditional state-based policies often struggl…
cs.LG2023
Variance-Reduced Conservative Policy Iteration
Naman Agarwal, Brian Bullins, Karan Singh
We study the sample complexity of reducing reinforcement learning to a sequence of empirical risk minimization problems over the policy space. Such reductions-based algorithms exhi…