conftrace_

robust markov decision process

29 papers

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Also known as

R-MDP ROBUST MDP RMDP

Co-occurring keywords

robust optimization (307) markov decision process (790) ambiguity set (18) uncertainty set (25) policy iteration (99) reinforcement learning (4352) linear programming (227) approximate dynamic programming (31) value iteration (162) sample complexity (1169)

Papers

Efficient Solution and Learning of Robust Factored MDPs AAAI 2026
Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026
Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
Policy Optimization for Robust Average Reward MDPs NIPS 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NIPS 2024
A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023
Policy Gradient for Rectangular Robust Markov Decision Processes NIPS 2023
Robust Average-Reward Markov Decision Processes AAAI 2023
Model-Free Robust Average-Reward Reinforcement Learning ICML 2023
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Robust $\phi$-Divergence MDPs NIPS 2022
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs NIPS 2021
Optimizing Percentile Criterion using Robust MDPs AISTATS 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021
Scalable First-Order Methods for Robust MDPs AAAI 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019
A Bayesian Approach to Robust Reinforcement Learning UAI 2019
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018
Fast Bellman Updates for Robust MDPs ICML 2018