{"total":17,"rows":[{"id":"2301.02328","title":"Extreme Q-Learning: MaxEnt RL without Entropy","created":"2023-01-05","cited_by_count":116,"area":"offlinerl"},{"id":"2303.15810","title":"Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization","created":"2023-03-28","cited_by_count":116,"area":"offlinerl"},{"id":"2202.02446","title":"Adversarially Trained Actor Critic for Offline Reinforcement Learning","created":"2022-02-05","cited_by_count":111,"area":"offlinerl"},{"id":"2209.10968","title":"Proximal Point Imitation Learning","created":"2022-09-22","cited_by_count":26,"area":"offlinerl"},{"id":"2305.12944","title":"Offline Primal-Dual Reinforcement Learning for Linear MDPs","created":"2023-05-22","cited_by_count":17,"area":"offlinerl"},{"id":"2306.00629","title":"Identifiability and Generalizability in Constrained Inverse Reinforcement Learning","created":"2023-06-01","cited_by_count":16,"area":"offlinerl"},{"id":"2302.02392","title":"Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage","created":"2023-02-05","cited_by_count":10,"area":"offlinerl"},{"id":"2502.06051","title":"Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits","created":"2025-02-09","cited_by_count":10,"area":"offlinerl"},{"id":"2309.08571","title":"A Bayesian Approach to Robust Inverse Reinforcement Learning","created":"2023-09-15","cited_by_count":9,"area":"offlinerl"},{"id":"2401.06566","title":"Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL","created":"2024-01-12","cited_by_count":4,"area":"offlinerl"},{"id":"2507.14529","title":"Kernel Based Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games","created":"2025-07-19","cited_by_count":3,"area":"offlinerl"},{"id":"2605.07393","title":"Offline Policy Optimization with Posterior Sampling","created":"2026-05-08","cited_by_count":1,"area":"offlinerl"},{"id":"2307.12968","title":"A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning","created":"2023-07-24","cited_by_count":0,"area":"offlinerl"},{"id":"2512.06956","title":"Statistical analysis of Inverse Entropy-regularized Reinforcement Learning","created":"2025-12-07","cited_by_count":0,"area":"offlinerl"},{"id":"2605.11020","title":"Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates","created":"2026-05-10","cited_by_count":0,"area":"offlinerl"},{"id":"2606.16759","title":"Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward","created":"2026-06-15","cited_by_count":0,"area":"offlinerl"},{"id":"2610.14041","title":"A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning","created":"2026-10-02","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}