{"total":52,"rows":[{"id":"2307.13586","title":"Settling the Sample Complexity of Online Reinforcement Learning","created":"2023-07-25","cited_by_count":45,"area":null},{"id":"2602.02710","title":"Maximum Likelihood Reinforcement Learning","created":"2026-02-02","cited_by_count":36,"area":"deeprl"},{"id":"2404.03578","title":"Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms","created":"2024-04-04","cited_by_count":26,"area":"deeprl"},{"id":"2307.07907","title":"Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation","created":"2023-07-15","cited_by_count":25,"area":null},{"id":"2402.15399","title":"Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation","created":"2024-02-23","cited_by_count":25,"area":"deeprl"},{"id":"2404.18909","title":"Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty","created":"2024-04-29","cited_by_count":25,"area":null},{"id":"2311.09018","title":"On the Foundation of Distributionally Robust Reinforcement Learning","created":"2023-11-15","cited_by_count":18,"area":null},{"id":"2403.09621","title":"Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning","created":"2024-03-14","cited_by_count":18,"area":"offlinerl"},{"id":"2306.11626","title":"Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity","created":"2023-06-20","cited_by_count":17,"area":null},{"id":"2309.02236","title":"Distributionally Robust Model-based Reinforcement Learning with Large State Spaces","created":"2023-09-05","cited_by_count":17,"area":null},{"id":"2409.20521","title":"Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning","created":"2024-09-30","cited_by_count":16,"area":"deeprl"},{"id":"2406.15788","title":"Distributionally Robust Constrained Reinforcement Learning under Strong Duality","created":"2024-06-22","cited_by_count":15,"area":"deeprl"},{"id":"2403.12946","title":"Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes","created":"2024-03-19","cited_by_count":14,"area":"offlinerl"},{"id":"2402.08991","title":"Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption","created":"2024-02-14","cited_by_count":12,"area":"deeprl"},{"id":"2406.17096","title":"Model-Free Robust Reinforcement Learning with Sample Complexity Analysis","created":"2024-06-24","cited_by_count":9,"area":"deeprl"},{"id":"2411.03810","title":"Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data","created":"2024-11-06","cited_by_count":8,"area":"deeprl"},{"id":"2411.18612","title":"Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization","created":"2024-11-27","cited_by_count":8,"area":"offlinerl"},{"id":"2411.07591","title":"Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization","created":"2024-11-12","cited_by_count":6,"area":"deeprl"},{"id":"2505.19238","title":"Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees","created":"2025-05-25","cited_by_count":6,"area":"deeprl"},{"id":"2508.03768","title":"ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning","created":"2025-08-05","cited_by_count":6,"area":"deeprl"},{"id":"2406.08847","title":"Roping in Uncertainty: Robustness and Regularization in Markov Games","created":"2024-06-13","cited_by_count":5,"area":null},{"id":"2503.08934","title":"Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model","created":"2025-03-11","cited_by_count":5,"area":"deeprl"},{"id":"2505.18044","title":"Linear Mixture Distributionally Robust Markov Decision Processes","created":"2025-05-23","cited_by_count":5,"area":null},{"id":"2405.05468","title":"Model-Free Robust $\\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data","created":"2024-05-08","cited_by_count":4,"area":"deeprl"},{"id":"2406.14156","title":"Tractable Equilibrium Computation in Markov Games through Risk Aversion","created":"2024-06-20","cited_by_count":4,"area":"deeprl"},{"id":"2505.12462","title":"Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis","created":"2025-05-18","cited_by_count":3,"area":"deeprl"},{"id":"2509.24748","title":"Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption","created":"2025-09-29","cited_by_count":3,"area":"offlinerl"},{"id":"2307.07666","title":"Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty","created":"2023-07-15","cited_by_count":2,"area":null},{"id":"2404.00940","title":"Sequential Decision-Making under Uncertainty: A Robust MDPs review","created":"2024-04-01","cited_by_count":2,"area":"deeprl"},{"id":"2406.08406","title":"RRLS : Robust Reinforcement Learning Suite","created":"2024-06-12","cited_by_count":2,"area":"deeprl"},{"id":"2505.18447","title":"Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning","created":"2025-05-24","cited_by_count":2,"area":"deeprl"},{"id":"2507.14444","title":"Statistical and Algorithmic Foundations of Reinforcement Learning","created":"2025-07-19","cited_by_count":2,"area":"deeprl"},{"id":"2512.18957","title":"Online Robust Reinforcement Learning with General Function Approximation","created":"2025-12-22","cited_by_count":2,"area":"deeprl"},{"id":"2406.04081","title":"Bootstrapping Expectiles in Reinforcement Learning","created":"2024-06-06","cited_by_count":1,"area":"deeprl"},{"id":"2505.12202","title":"Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learning","created":"2025-05-18","cited_by_count":1,"area":"deeprl"},{"id":"2509.24047","title":"Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2511.07486","title":"Provably Efficient Sample Complexity for Robust CMDP","created":"2025-11-10","cited_by_count":1,"area":null},{"id":"2511.07831","title":"Distributionally Robust Online Markov Game with Linear Function Approximation","created":"2025-11-11","cited_by_count":1,"area":"deeprl"},{"id":"2512.00030","title":"Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement Learning","created":"2025-11-08","cited_by_count":1,"area":"deeprl"},{"id":"2406.11281","title":"Learning Optimal Distributionally Robust Stochastic Control in Continuous State Spaces","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2505.02347","title":"Temporal Robustness in Discrete Time Linear Dynamical Systems","created":"2025-05-05","cited_by_count":0,"area":null},{"id":"2510.01721","title":"Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation","created":"2025-10-02","cited_by_count":0,"area":"deeprl"},{"id":"2602.11437","title":"Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2603.07921","title":"Robust Transfer Learning with Side Information","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.08979","title":"Data-driven robust Markov decision processes on Borel spaces: performance guarantees via an axiomatic approach","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.14243","title":"Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2605.03125","title":"Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation","created":"2026-05-04","cited_by_count":0,"area":"deeprl"},{"id":"2605.08417","title":"Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL","created":"2026-05-08","cited_by_count":0,"area":"deeprl"},{"id":"2606.22579","title":"Stationary Robust Mean-Field Games under Model Mismatches","created":"2026-06-21","cited_by_count":0,"area":"deeprl"},{"id":"2608.06520","title":"Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.28792","title":"Vector Bellman Theory for Multichain Robust Average-Reward Markov Decision Processes","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.02131","title":"Linear Programming Representations and Strongly Polynomial Algorithms for Robust Markov Decision Processes","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}