{"total":22,"rows":[{"id":"2210.14215","title":"In-context Reinforcement Learning with Algorithm Distillation","created":"2022-10-25","cited_by_count":190,"area":null},{"id":"2306.14892","title":"Supervised Pretraining Can Learn In-Context Reinforcement Learning","created":"2023-06-26","cited_by_count":139,"area":null},{"id":"2312.03801","title":"Generalization to New Sequential Decision Making Tasks with In-Context Learning","created":"2023-12-06","cited_by_count":39,"area":null},{"id":"2204.11828","title":"Skill-based Meta-Reinforcement Learning","created":"2022-04-25","cited_by_count":37,"area":null},{"id":"2207.04703","title":"Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning","created":"2022-07-11","cited_by_count":29,"area":null},{"id":"2311.05067","title":"Accelerating Exploration with Unlabeled Prior Data","created":"2023-11-09","cited_by_count":21,"area":null},{"id":"2301.11147","title":"Train Hard, Fight Easy: Robust Meta Reinforcement Learning","created":"2023-01-26","cited_by_count":12,"area":null},{"id":"2302.01128","title":"Mnemosyne: Learning to Train Transformers with Transformers","created":"2023-02-02","cited_by_count":9,"area":null},{"id":"2506.08902","title":"Intention-Conditioned Flow Occupancy Models","created":"2025-06-10","cited_by_count":9,"area":null},{"id":"2307.10667","title":"Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors","created":"2023-07-20","cited_by_count":6,"area":null},{"id":"2211.13337","title":"Multi-Environment Pretraining Enables Transfer to Action Limited Datasets","created":"2022-11-23","cited_by_count":5,"area":null},{"id":"2507.09041","title":"Behavioral Exploration: Learning to Explore via In-Context Adaptation","created":"2025-07-11","cited_by_count":5,"area":null},{"id":"2212.01509","title":"Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward","created":"2022-12-03","cited_by_count":4,"area":null},{"id":"2312.06518","title":"Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills","created":"2023-12-11","cited_by_count":4,"area":null},{"id":"2211.07614","title":"Towards Data-Driven Offline Simulations for Online Reinforcement Learning","created":"2022-11-14","cited_by_count":3,"area":null},{"id":"2503.15685","title":"Robotic Paper Wrapping by Learning Force Control","created":"2025-03-19","cited_by_count":2,"area":null},{"id":"2309.13181","title":"Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning","created":"2023-09-22","cited_by_count":0,"area":null},{"id":"2311.02300","title":"Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis","created":"2023-11-04","cited_by_count":0,"area":null},{"id":"2405.00902","title":"MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure","created":"2024-05-01","cited_by_count":0,"area":null},{"id":"2505.12759","title":"Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2507.19437","title":"Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2605.08999","title":"Non-Parametric Rehearsal Learning via Conditional Mean Embeddings","created":"2026-05-09","cited_by_count":0,"area":null}],"next_cursor":null}