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Papers
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
AISTATS 2025
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
UAI 2024
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
AAAI 2024
Online Learning with Off-Policy Feedback in Adversarial MDPs
IJCAI 2024
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
UAI 2024
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes
NeurIPS 2023
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
NeurIPS 2022
No-regret learning with high-probability in adversarial Markov decision processes
UAI 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
NeurIPS 2021