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04/06/2023
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
In this work, we derive sharp non-asymptotic deviation bounds for weight...
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03/16/2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
We consider the problem of minimizing a non-convex function over a smoot...
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03/14/2023
Fast Rates for Maximum Entropy Exploration
We consider the reinforcement learning (RL) setting, in which the agent ...
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09/28/2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
We consider reinforcement learning in an environment modeled by an episo...
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05/16/2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
We propose the Bayes-UCBVI algorithm for reinforcement learning in tabul...
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02/27/2021
Parallel Stochastic Mirror Descent for MDPs
We consider the problem of learning the optimal policy for infinite-hori...
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06/11/2020