{"total":8,"rows":[{"id":"2607.01111","title":"FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2602.09580","title":"SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2605.03065","title":"OGPO: Sample Efficient Full-Finetuning of Generative Control Policies","created":"2026-05-04","cited_by_count":1,"area":null},{"id":"2602.05890","title":"DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2609.32594","title":"MA-FPPO: Multi-Agent Flow-Pretrained Policy Optimization","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.00360","title":"DexPolicy: Scheduled Exploration for Trajectory-Guided Dexterous Manipulation","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.01882","title":"Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.20607","title":"Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}