distributionally robust

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces AISTATS 2025 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Robust Data-driven Prescriptiveness Optimization ICML 2024 Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage NeurIPS 2023 Distributionally Robust Q-Learning ICML 2022 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 On Language Models for Creoles CoNLL 2021 Distributionally Robust Graphical Models NeurIPS 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 Distributionally Robust Markov Decision Processes NeurIPS 2010