{"total":21,"rows":[{"id":"2311.02496","title":"LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion","created":"2023-11-04","cited_by_count":33,"area":"offlinerl"},{"id":"2305.16498","title":"Coherent Soft Imitation Learning","created":"2023-05-25","cited_by_count":22,"area":"offlinerl"},{"id":"2311.02013","title":"SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning","created":"2023-11-03","cited_by_count":21,"area":"offlinerl"},{"id":"2409.01369","title":"Imitating Language via Scalable Inverse Reinforcement Learning","created":"2024-09-02","cited_by_count":21,"area":"offlinerl"},{"id":"2306.05426","title":"SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking","created":"2023-06-08","cited_by_count":13,"area":"offlinerl"},{"id":"2406.08805","title":"A Dual Approach to Imitation Learning from Observations with Offline Datasets","created":"2024-06-13","cited_by_count":10,"area":"offlinerl"},{"id":"2304.03833","title":"Learning Robot Manipulation from Cross-Morphology Demonstration","created":"2023-04-07","cited_by_count":8,"area":"offlinerl"},{"id":"2405.17477","title":"OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning","created":"2024-05-24","cited_by_count":6,"area":"offlinerl"},{"id":"2502.02054","title":"RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation","created":"2025-02-04","cited_by_count":6,"area":"offlinerl"},{"id":"2306.09805","title":"Mimicking Better by Matching the Approximate Action Distribution","created":"2023-06-16","cited_by_count":5,"area":"offlinerl"},{"id":"2402.01057","title":"Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning","created":"2024-02-01","cited_by_count":2,"area":"offlinerl"},{"id":"2505.20335","title":"Language Model Distillation: A Temporal Difference Imitation Learning Perspective","created":"2025-05-24","cited_by_count":2,"area":"offlinerl"},{"id":"2410.08307","title":"UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations","created":"2024-10-10","cited_by_count":0,"area":"offlinerl"},{"id":"2502.20089","title":"RIZE: Adaptive Regularization for Imitation Learning","created":"2025-02-27","cited_by_count":0,"area":"offlinerl"},{"id":"2505.21182","title":"Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations","created":"2025-05-27","cited_by_count":0,"area":"offlinerl"},{"id":"2507.06701","title":"Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement","created":"2025-07-09","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":"2603.22713","title":"Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism","created":"2026-03-24","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":"2609.35698","title":"Provable Benefits of Regularization: Fast Rates for Adversarial Imitation Learning","created":"2026-09-28","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}