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Papers
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
NeurIPS 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
AAAI 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
ICML 2024
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
AISTATS 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
AAAI 2023
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
ICLR 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
ICML 2022
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
NeurIPS 2022
Is Pessimism Provably Efficient for Offline RL?
ICML 2021
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
NeurIPS 2021