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Papers
Efficient Solution and Learning of Robust Factored MDPs
AAAI 2026
Online Robust Planning Under Model Uncertainty: A Sample-Based Approach
AAAI 2026
Strongly Polynomial Time Complexity of Policy Iteration for $L_∞$ Robust MDPs
COLT 2026
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
ICML 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
AAAI 2025
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances
L4DC 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
JMLR 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
NeurIPS 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
NeurIPS 2024
Online Policy Optimization for Robust Markov Decision Process
UAI 2024
Policy Optimization for Robust Average Reward MDPs
NeurIPS 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
UAI 2024
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
AISTATS 2023
Model-Free Robust Average-Reward Reinforcement Learning
ICML 2023
Policy Gradient for Rectangular Robust Markov Decision Processes
NeurIPS 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee
ICML 2023
Robust Average-Reward Markov Decision Processes
AAAI 2023
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
AAAI 2022
Robust φ-Divergence MDPs
NeurIPS 2022
Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs
NeurIPS 2021
Optimizing Percentile Criterion using Robust MDPs
AISTATS 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes
JMLR 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
ICML 2021