{"total":80,"rows":[{"id":"1911.11361","title":"Behavior Regularized Offline Reinforcement Learning","created":"2019-11-26","cited_by_count":662,"area":"offlinerl"},{"id":"1809.02925","title":"Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning","created":"2018-09-09","cited_by_count":204,"area":"offlinerl"},{"id":"2106.12142","title":"IQ-Learn: Inverse soft-Q Learning for Imitation","created":"2021-06-23","cited_by_count":193,"area":"offlinerl"},{"id":"1911.02256","title":"A Divergence Minimization Perspective on Imitation Learning Methods","created":"2019-11-06","cited_by_count":190,"area":"offlinerl"},{"id":"1912.05032","title":"Imitation Learning via Off-Policy Distribution Matching","created":"2019-12-10","cited_by_count":183,"area":"offlinerl"},{"id":"1810.00821","title":"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","created":"2018-10-01","cited_by_count":105,"area":"offlinerl"},{"id":"2103.03236","title":"Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap","created":"2021-03-04","cited_by_count":81,"area":"offlinerl"},{"id":"1911.10947","title":"State Alignment-based Imitation Learning","created":"2019-11-21","cited_by_count":73,"area":"offlinerl"},{"id":"2106.00672","title":"What Matters for Adversarial Imitation Learning?","created":"2021-06-01","cited_by_count":70,"area":"offlinerl"},{"id":"2206.03023","title":"How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression","created":"2022-06-07","cited_by_count":66,"area":"offlinerl"},{"id":"1906.08113","title":"Wasserstein Adversarial Imitation Learning","created":"2019-06-19","cited_by_count":60,"area":"offlinerl"},{"id":"1803.01044","title":"Multi-Agent Imitation Learning for Driving Simulation","created":"2018-03-02","cited_by_count":50,"area":"offlinerl"},{"id":"2006.06412","title":"Modeling Human Driving Behavior through Generative Adversarial Imitation Learning","created":"2020-06-10","cited_by_count":45,"area":"offlinerl"},{"id":"1909.03449","title":"Imitation Learning for Human Pose Prediction","created":"2019-09-08","cited_by_count":44,"area":"offlinerl"},{"id":"2004.09395","title":"Energy-Based Imitation Learning","created":"2020-04-20","cited_by_count":40,"area":"offlinerl"},{"id":"2105.13345","title":"Adversarial Intrinsic Motivation for Reinforcement Learning","created":"2021-05-27","cited_by_count":40,"area":"offlinerl"},{"id":"1809.02064","title":"Sample-Efficient Imitation Learning via Generative Adversarial Nets","created":"2018-09-06","cited_by_count":36,"area":"offlinerl"},{"id":"2303.14623","title":"Inverse Reinforcement Learning without Reinforcement Learning","created":"2023-03-26","cited_by_count":36,"area":"offlinerl"},{"id":"2402.08848","title":"Hybrid Inverse Reinforcement Learning","created":"2024-02-13","cited_by_count":32,"area":"offlinerl"},{"id":"2310.12972","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","created":"2023-10-19","cited_by_count":29,"area":"offlinerl"},{"id":"2010.10181","title":"Robust Imitation Learning from Noisy Demonstrations","created":"2020-10-20","cited_by_count":26,"area":"offlinerl"},{"id":"2206.09314","title":"Robust Imitation Learning against Variations in Environment Dynamics","created":"2022-06-19","cited_by_count":26,"area":"offlinerl"},{"id":"2205.15397","title":"Minimax Optimal Online Imitation Learning via Replay Estimation","created":"2022-05-30","cited_by_count":25,"area":"offlinerl"},{"id":"2106.09422","title":"CRIL: Continual Robot Imitation Learning via Generative and Prediction Model","created":"2021-06-17","cited_by_count":24,"area":"offlinerl"},{"id":"2303.02569","title":"Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching","created":"2023-03-05","cited_by_count":24,"area":"offlinerl"},{"id":"2006.13258","title":"Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization","created":"2020-06-23","cited_by_count":22,"area":"offlinerl"},{"id":"2402.00348","title":"ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update","created":"2024-02-01","cited_by_count":21,"area":"offlinerl"},{"id":"2103.05079","title":"Domain-Robust Visual Imitation Learning with Mutual Information Constraints","created":"2021-03-08","cited_by_count":20,"area":"offlinerl"},{"id":"2008.03525","title":"Non-Adversarial Imitation Learning and its Connections to Adversarial Methods","created":"2020-08-08","cited_by_count":17,"area":"offlinerl"},{"id":"2402.02429","title":"Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning","created":"2024-02-04","cited_by_count":17,"area":"offlinerl"},{"id":"2506.05294","title":"A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search","created":"2025-06-05","cited_by_count":17,"area":"offlinerl"},{"id":"2301.12130","title":"Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning","created":"2023-01-28","cited_by_count":16,"area":"offlinerl"},{"id":"2302.00965","title":"Visual Imitation Learning with Patch Rewards","created":"2023-02-02","cited_by_count":16,"area":"offlinerl"},{"id":"2006.16785","title":"Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning","created":"2020-06-28","cited_by_count":15,"area":"offlinerl"},{"id":"2109.04307","title":"OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching","created":"2021-09-09","cited_by_count":15,"area":"offlinerl"},{"id":"2309.03322","title":"REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation","created":"2023-09-06","cited_by_count":15,"area":"offlinerl"},{"id":"2509.06782","title":"Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning","created":"2025-09-08","cited_by_count":15,"area":"offlinerl"},{"id":"2106.03155","title":"SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching","created":"2021-06-06","cited_by_count":14,"area":"offlinerl"},{"id":"2206.07166","title":"Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning","created":"2022-06-14","cited_by_count":14,"area":"offlinerl"},{"id":"2006.03503","title":"Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration","created":"2020-06-05","cited_by_count":13,"area":"offlinerl"},{"id":"2105.10066","title":"A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control","created":"2021-05-21","cited_by_count":13,"area":"offlinerl"},{"id":"2107.03851","title":"Imitation by Predicting Observations","created":"2021-07-08","cited_by_count":13,"area":"offlinerl"},{"id":"1909.06769","title":"VILD: Variational Imitation Learning with Diverse-quality Demonstrations","created":"2019-09-15","cited_by_count":12,"area":"offlinerl"},{"id":"2202.09673","title":"A Behavior Regularized Implicit Policy for Offline Reinforcement Learning","created":"2022-02-19","cited_by_count":11,"area":"offlinerl"},{"id":"2309.17371","title":"Adversarial Imitation Learning from Visual Observations using Latent Information","created":"2023-09-29","cited_by_count":11,"area":"offlinerl"},{"id":"2312.00548","title":"Domain Adaptive Imitation Learning with Visual Observation","created":"2023-12-01","cited_by_count":11,"area":"offlinerl"},{"id":"2301.00051","title":"Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks","created":"2022-12-30","cited_by_count":10,"area":"offlinerl"},{"id":"2306.10695","title":"SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models","created":"2023-06-19","cited_by_count":10,"area":"offlinerl"},{"id":"2411.07007","title":"Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching","created":"2024-11-11","cited_by_count":10,"area":"offlinerl"},{"id":"2108.01867","title":"A Pragmatic Look at Deep Imitation Learning","created":"2021-08-04","cited_by_count":9,"area":"offlinerl"},{"id":"2410.14069","title":"Rethinking Optimal Transport in Offline Reinforcement Learning","created":"2024-10-17","cited_by_count":9,"area":"offlinerl"},{"id":"2005.01138","title":"Off-Policy Adversarial Inverse Reinforcement Learning","created":"2020-05-03","cited_by_count":8,"area":"offlinerl"},{"id":"2406.11905","title":"EvIL: Evolution Strategies for Generalisable Imitation Learning","created":"2024-06-15","cited_by_count":8,"area":"offlinerl"},{"id":"1906.07374","title":"Sample-efficient Adversarial Imitation Learning from Observation","created":"2019-06-18","cited_by_count":6,"area":"offlinerl"},{"id":"2010.08353","title":"On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration","created":"2020-10-16","cited_by_count":6,"area":"offlinerl"},{"id":"2503.13162","title":"Efficient Imitation under Misspecification","created":"2025-03-17","cited_by_count":5,"area":"offlinerl"},{"id":"2411.06965","title":"Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration","created":"2024-11-11","cited_by_count":4,"area":"offlinerl"},{"id":"2001.06944","title":"Nested-Wasserstein Self-Imitation Learning for Sequence Generation","created":"2020-01-20","cited_by_count":3,"area":"offlinerl"},{"id":"2112.06054","title":"Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency","created":"2021-12-11","cited_by_count":3,"area":"offlinerl"},{"id":"2112.08932","title":"Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning","created":"2021-12-16","cited_by_count":3,"area":"offlinerl"},{"id":"2206.11299","title":"Latent Policies for Adversarial Imitation Learning","created":"2022-06-22","cited_by_count":3,"area":"offlinerl"},{"id":"2307.02829","title":"Policy Contrastive Imitation Learning","created":"2023-07-06","cited_by_count":3,"area":"offlinerl"},{"id":"2412.03959","title":"Is FISHER All You Need in The Multi-AUV Underwater Target Tracking Task?","created":"2024-12-05","cited_by_count":3,"area":"offlinerl"},{"id":"2104.06687","title":"Reward function shape exploration in adversarial imitation learning: an empirical study","created":"2021-04-14","cited_by_count":2,"area":"offlinerl"},{"id":"2107.00116","title":"On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning","created":"2021-06-30","cited_by_count":2,"area":"offlinerl"},{"id":"2301.11687","title":"Theoretical Analysis of Offline Imitation With Supplementary Dataset","created":"2023-01-27","cited_by_count":2,"area":"offlinerl"},{"id":"2409.08012","title":"Learning Causally Invariant Reward Functions from Diverse Demonstrations","created":"2024-09-12","cited_by_count":2,"area":"offlinerl"},{"id":"2412.20193","title":"Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker","created":"2024-12-28","cited_by_count":1,"area":"offlinerl"},{"id":"2501.01669","title":"Inversely Learning Transferable Rewards via Abstracted States","created":"2025-01-03","cited_by_count":1,"area":"offlinerl"},{"id":"2510.00922","title":"On Discovering Algorithms for Adversarial Imitation Learning","created":"2025-10-01","cited_by_count":1,"area":"offlinerl"},{"id":"2510.12638","title":"Expert or not? assessing data quality in offline reinforcement learning","created":"2025-10-14","cited_by_count":1,"area":"offlinerl"},{"id":"1912.08444","title":"Relational Mimic for Visual Adversarial Imitation Learning","created":"2019-12-18","cited_by_count":0,"area":"offlinerl"},{"id":"2111.02354","title":"Smooth Imitation Learning via Smooth Costs and Smooth Policies","created":"2021-11-03","cited_by_count":0,"area":"offlinerl"},{"id":"2308.09189","title":"Regularizing Adversarial Imitation Learning Using Causal Invariance","created":"2023-08-17","cited_by_count":0,"area":"offlinerl"},{"id":"2401.09728","title":"Offline Imitation Learning by Controlling the Effective Planning Horizon","created":"2024-01-18","cited_by_count":0,"area":"offlinerl"},{"id":"2410.12238","title":"Off-dynamics Conditional Diffusion Planners","created":"2024-10-16","cited_by_count":0,"area":"offlinerl"},{"id":"2509.26294","title":"Noise-Guided Transport for Imitation Learning","created":"2025-09-30","cited_by_count":0,"area":"offlinerl"},{"id":"2603.03454","title":"[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL","created":"2026-03-03","cited_by_count":0,"area":"offlinerl"},{"id":"2603.05440","title":"Latent Wasserstein Adversarial Imitation Learning","created":"2026-03-05","cited_by_count":0,"area":"offlinerl"},{"id":"2607.13938","title":"Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation","created":"2026-07-15","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}