{"total":46,"rows":[{"id":"2309.02473","title":"A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges","created":"2023-09-05","cited_by_count":148,"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":"1907.13220","title":"Multi-Agent Adversarial Inverse Reinforcement Learning","created":"2019-07-30","cited_by_count":60,"area":"offlinerl"},{"id":"2106.12177","title":"Imitation Learning: Progress, Taxonomies and Challenges","created":"2021-06-23","cited_by_count":58,"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":"2403.12835","title":"AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents","created":"2024-03-19","cited_by_count":32,"area":"offlinerl"},{"id":"1811.03516","title":"Learning from Demonstration in the Wild","created":"2018-11-08","cited_by_count":25,"area":"offlinerl"},{"id":"1903.05766","title":"Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning","created":"2019-03-14","cited_by_count":24,"area":"offlinerl"},{"id":"2402.13777","title":"Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions","created":"2024-02-21","cited_by_count":20,"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":"2107.04750","title":"Multi-Agent Imitation Learning with Copulas","created":"2021-07-10","cited_by_count":13,"area":"offlinerl"},{"id":"2201.01448","title":"Conditional Imitation Learning for Multi-Agent Games","created":"2022-01-05","cited_by_count":13,"area":"offlinerl"},{"id":"2103.13887","title":"Adversarial Imitation Learning with Trajectorial Augmentation and Correction","created":"2021-03-25","cited_by_count":11,"area":"offlinerl"},{"id":"2406.04219","title":"Multi-Agent Imitation Learning: Value is Easy, Regret is Hard","created":"2024-06-06","cited_by_count":11,"area":"offlinerl"},{"id":"2202.06401","title":"Individual-Level Inverse Reinforcement Learning for Mean Field Games","created":"2022-02-13","cited_by_count":10,"area":"offlinerl"},{"id":"2104.14654","title":"Adversarial Inverse Reinforcement Learning for Mean Field Games","created":"2021-04-29","cited_by_count":8,"area":"offlinerl"},{"id":"2403.17601","title":"LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation","created":"2024-03-26","cited_by_count":8,"area":"offlinerl"},{"id":"1909.11468","title":"Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems","created":"2019-09-25","cited_by_count":7,"area":"offlinerl"},{"id":"2303.00413","title":"Automated Task-Time Interventions to Improve Teamwork using Imitation Learning","created":"2023-03-01","cited_by_count":7,"area":"offlinerl"},{"id":"1906.07374","title":"Sample-efficient Adversarial Imitation Learning from Observation","created":"2019-06-18","cited_by_count":6,"area":"offlinerl"},{"id":"2002.10525","title":"Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic","created":"2020-02-24","cited_by_count":6,"area":"offlinerl"},{"id":"2405.16439","title":"Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds","created":"2024-05-26","cited_by_count":6,"area":"offlinerl"},{"id":"2510.06913","title":"DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning","created":"2025-10-08","cited_by_count":5,"area":"offlinerl"},{"id":"2411.15046","title":"On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning","created":"2024-11-22","cited_by_count":4,"area":"offlinerl"},{"id":"2505.17610","title":"Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning","created":"2025-05-23","cited_by_count":4,"area":"offlinerl"},{"id":"2306.06401","title":"Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning","created":"2023-06-10","cited_by_count":3,"area":"offlinerl"},{"id":"2401.11378","title":"Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance","created":"2024-01-21","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":"2109.01178","title":"Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts","created":"2021-09-02","cited_by_count":2,"area":"offlinerl"},{"id":"2203.01696","title":"Fail-Safe Adversarial Generative Imitation Learning","created":"2022-03-03","cited_by_count":2,"area":"offlinerl"},{"id":"2205.02959","title":"Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations","created":"2022-05-05","cited_by_count":2,"area":"offlinerl"},{"id":"2210.16915","title":"Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games","created":"2022-10-30","cited_by_count":2,"area":"offlinerl"},{"id":"2308.10188","title":"Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games","created":"2023-08-20","cited_by_count":2,"area":"offlinerl"},{"id":"2310.06801","title":"Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning","created":"2023-10-10","cited_by_count":2,"area":"offlinerl"},{"id":"2311.02502","title":"MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters","created":"2023-11-04","cited_by_count":2,"area":"offlinerl"},{"id":"2502.17618","title":"Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations","created":"2025-02-24","cited_by_count":2,"area":"offlinerl"},{"id":"2510.09325","title":"Rate optimal learning of equilibria from data","created":"2025-10-10","cited_by_count":2,"area":"offlinerl"},{"id":"2205.07716","title":"Generalizing to New Tasks via One-Shot Compositional Subgoals","created":"2022-05-16","cited_by_count":1,"area":"offlinerl"},{"id":"2301.06864","title":"Show me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration","created":"2023-01-17","cited_by_count":1,"area":"offlinerl"},{"id":"2510.18085","title":"R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations","created":"2025-10-20","cited_by_count":1,"area":"offlinerl"},{"id":"2602.22810","title":"Multi-agent imitation learning with function approximation: Linear Markov games and beyond","created":"2026-02-26","cited_by_count":1,"area":"offlinerl"},{"id":"2404.09324","title":"Mean Field Correlated Imitation Learning","created":"2024-04-14","cited_by_count":0,"area":"offlinerl"},{"id":"2503.08883","title":"Imitation Learning of Correlated Policies in Stackelberg Games","created":"2025-03-11","cited_by_count":0,"area":"offlinerl"},{"id":"2509.08257","title":"Symmetry-Guided Multi-Agent Inverse Reinforcement Learning","created":"2025-09-10","cited_by_count":0,"area":"offlinerl"},{"id":"2602.21020","title":"Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning","created":"2026-02-24","cited_by_count":0,"area":"offlinerl"},{"id":"2605.12000","title":"Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation","created":"2026-05-12","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}