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Papers
Multi-User Reinforcement Learning with Low Rank Rewards
ICML 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
ICML 2023
Reinforcement Learning Can Be More Efficient with Multiple Rewards
ICML 2023
A Model Selection Approach for Corruption Robust Reinforcement Learning
ALT 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning
ICML 2022
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
NeurIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
COLT 2022
Fast Rates for the Regret of Offline Reinforcement Learning
COLT 2021
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
COLT 2021
Nearly Horizon-Free Offline Reinforcement Learning
NeurIPS 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
ICML 2021
Provably efficient multi-task reinforcement learning with model transfer
NeurIPS 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
COLT 2021
Reinforcement Learning with Feedback Graphs
NeurIPS 2020