{"total":55,"rows":[{"id":"2005.01643","title":"Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems","created":"2020-05-04","cited_by_count":1920,"area":"offlinerl"},{"id":"2205.15241","title":"Multi-Game Decision Transformers","created":"2022-05-30","cited_by_count":214,"area":"offlinerl"},{"id":"2104.07749","title":"Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills","created":"2021-04-15","cited_by_count":125,"area":"offlinerl"},{"id":"2012.11547","title":"Offline Reinforcement Learning from Images with Latent Space Models","created":"2020-12-21","cited_by_count":95,"area":"offlinerl"},{"id":"2104.06294","title":"Online and Offline Reinforcement Learning by Planning with a Learned Model","created":"2021-04-13","cited_by_count":90,"area":"offlinerl"},{"id":"2212.05711","title":"CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning","created":"2022-12-12","cited_by_count":71,"area":"offlinerl"},{"id":"2206.04779","title":"Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations","created":"2022-06-09","cited_by_count":63,"area":"offlinerl"},{"id":"2409.12192","title":"DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control","created":"2024-09-18","cited_by_count":44,"area":"offlinerl"},{"id":"2107.08829","title":"Visual Adversarial Imitation Learning using Variational Models","created":"2021-07-16","cited_by_count":42,"area":"offlinerl"},{"id":"2106.09119","title":"Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL","created":"2021-06-16","cited_by_count":24,"area":"offlinerl"},{"id":"2304.04591","title":"For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal","created":"2023-04-10","cited_by_count":22,"area":"offlinerl"},{"id":"2210.09598","title":"Planning for Sample Efficient Imitation Learning","created":"2022-10-18","cited_by_count":20,"area":"offlinerl"},{"id":"2310.20025","title":"GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models","created":"2023-10-30","cited_by_count":20,"area":"offlinerl"},{"id":"2111.05440","title":"Dealing with the Unknown: Pessimistic Offline Reinforcement Learning","created":"2021-11-09","cited_by_count":19,"area":"offlinerl"},{"id":"2207.10148","title":"Learning Deformable Object Manipulation from Expert Demonstrations","created":"2022-07-20","cited_by_count":19,"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":"2205.07886","title":"An Empirical Investigation of Representation Learning for Imitation","created":"2022-05-16","cited_by_count":15,"area":"offlinerl"},{"id":"2306.00867","title":"IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control","created":"2023-06-01","cited_by_count":14,"area":"offlinerl"},{"id":"2401.03306","title":"MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning","created":"2024-01-06","cited_by_count":14,"area":"offlinerl"},{"id":"2107.03851","title":"Imitation by Predicting Observations","created":"2021-07-08","cited_by_count":13,"area":"offlinerl"},{"id":"2203.08949","title":"Latent-Variable Advantage-Weighted Policy Optimization for Offline RL","created":"2022-03-16","cited_by_count":12,"area":"offlinerl"},{"id":"2211.00863","title":"Behavior Prior Representation learning for Offline Reinforcement Learning","created":"2022-11-02","cited_by_count":12,"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":"2102.06961","title":"PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators","created":"2021-02-13","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":"2309.10790","title":"Guide Your Agent with Adaptive Multimodal Rewards","created":"2023-09-19","cited_by_count":10,"area":"offlinerl"},{"id":"2209.15256","title":"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning","created":"2022-09-30","cited_by_count":9,"area":"offlinerl"},{"id":"2407.12792","title":"Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning","created":"2024-06-18","cited_by_count":9,"area":"offlinerl"},{"id":"2304.03833","title":"Learning Robot Manipulation from Cross-Morphology Demonstration","created":"2023-04-07","cited_by_count":8,"area":"offlinerl"},{"id":"2310.14274","title":"Robust Visual Imitation Learning with Inverse Dynamics Representations","created":"2023-10-22","cited_by_count":8,"area":"offlinerl"},{"id":"2001.11628","title":"Domain-Adversarial and Conditional State Space Model for Imitation Learning","created":"2020-01-31","cited_by_count":7,"area":"offlinerl"},{"id":"2402.05421","title":"DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning","created":"2024-02-08","cited_by_count":6,"area":"offlinerl"},{"id":"2505.13144","title":"Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning","created":"2025-05-19","cited_by_count":6,"area":"offlinerl"},{"id":"2104.01390","title":"No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE","created":"2021-04-03","cited_by_count":5,"area":"offlinerl"},{"id":"2305.01400","title":"Get Back Here: Robust Imitation by Return-to-Distribution Planning","created":"2023-05-02","cited_by_count":4,"area":"offlinerl"},{"id":"2409.09513","title":"Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens","created":"2024-09-14","cited_by_count":4,"area":"offlinerl"},{"id":"2109.07275","title":"DROMO: Distributionally Robust Offline Model-based Policy Optimization","created":"2021-09-15","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":"2411.04562","title":"Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning","created":"2024-11-07","cited_by_count":3,"area":"offlinerl"},{"id":"2505.11719","title":"Zero-Shot Visual Generalization in Robot Manipulation","created":"2025-05-16","cited_by_count":3,"area":"offlinerl"},{"id":"2106.05535","title":"Differentiable Robust LQR Layers","created":"2021-06-10","cited_by_count":1,"area":"offlinerl"},{"id":"2310.05672","title":"Multi-timestep models for Model-based Reinforcement Learning","created":"2023-10-09","cited_by_count":1,"area":"offlinerl"},{"id":"2402.02858","title":"Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning","created":"2024-02-05","cited_by_count":1,"area":"offlinerl"},{"id":"2404.03386","title":"SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring","created":"2024-04-04","cited_by_count":1,"area":"offlinerl"},{"id":"2505.05701","title":"Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning","created":"2025-05-09","cited_by_count":1,"area":"offlinerl"},{"id":"2505.06482","title":"Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach","created":"2025-05-10","cited_by_count":1,"area":"offlinerl"},{"id":"2605.08450","title":"Zero-shot Imitation Learning by Latent Topology Mapping","created":"2026-05-08","cited_by_count":1,"area":"offlinerl"},{"id":"2107.11811","title":"Reinforced Imitation Learning by Free Energy Principle","created":"2021-07-25","cited_by_count":0,"area":"offlinerl"},{"id":"2408.10113","title":"Enhancing Reinforcement Learning Through Guided Search","created":"2024-08-19","cited_by_count":0,"area":"offlinerl"},{"id":"2603.02935","title":"Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning","created":"2026-03-03","cited_by_count":0,"area":"offlinerl"},{"id":"2604.03523","title":"Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret","created":"2026-04-04","cited_by_count":0,"area":"offlinerl"},{"id":"2607.28737","title":"Mirror Learning","created":"2026-07-30","cited_by_count":0,"area":"offlinerl"},{"id":"2608.22591","title":"WorldToken: Time-First Sequence Modeling for Robotic Imitation Learning","created":"2026-08-23","cited_by_count":0,"area":"offlinerl"},{"id":"2609.18004","title":"Missing Bridges: Composition-Aware Active Imitation Learning","created":"2026-09-16","cited_by_count":0,"area":"offlinerl"},{"id":"2609.19414","title":"Improving Offline Goal-Conditioned Reinforcement Learning via Selective Reward Stimulation","created":"2026-09-16","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}