{"total":18,"rows":[{"id":"2511.15605","title":"SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models","created":"2025-11-19","cited_by_count":27,"area":"vla"},{"id":"2512.05107","title":"STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Models","created":"2025-12-04","cited_by_count":24,"area":"vla"},{"id":"2510.25889","title":"$\\pi_\\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models","created":"2025-10-29","cited_by_count":16,"area":"vla"},{"id":"2512.07472","title":"Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation","created":"2025-12-08","cited_by_count":13,"area":"vla"},{"id":"2603.27670","title":"ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation","created":"2026-03-29","cited_by_count":10,"area":"vla"},{"id":"2602.12628","title":"Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models","created":"2026-02-13","cited_by_count":9,"area":"vla"},{"id":"2602.03445","title":"CRL-VLA: Continual Vision-Language-Action Learning","created":"2026-02-03","cited_by_count":7,"area":"vla"},{"id":"2607.03751","title":"Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models","created":"2026-07-04","cited_by_count":4,"area":"vla"},{"id":"2607.29613","title":"WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning","created":"2026-07-31","cited_by_count":4,"area":"vla"},{"id":"2511.19528","title":"Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories","created":"2025-11-24","cited_by_count":3,"area":"vla"},{"id":"2606.08653","title":"FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning","created":"2026-06-07","cited_by_count":2,"area":"vla"},{"id":"2609.21650","title":"SynthDemo-RL: Breaking the Zero-Reward Barrier in VLA Adaptation with LLM-Guided Synthetic Demonstrations","created":"2026-09-18","cited_by_count":0,"area":"vla"},{"id":"2609.25558","title":"HABILIS Brain 0: Geometry-Change Supervision for Vision-Language-Action and Residual Flow Recovery","created":"2026-09-22","cited_by_count":0,"area":"vla"},{"id":"2609.28161","title":"Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.28838","title":"Uncertainty-Gated Exploration Noise Suppresses Task Collapse in Online RL Fine-Tuning of a Flow-Matching Vision-Language-Action Policy","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.32698","title":"SEES: A Self-Evolving Embodied System via Failure-Guided VLA Policy Adaptation","created":"2026-09-26","cited_by_count":0,"area":"vla"},{"id":"2609.36352","title":"StructRL: Online Structured Reinforcement Learning for Long-Horizon Vision-Language-Action Tasks","created":"2026-09-28","cited_by_count":0,"area":"vla"},{"id":"2610.05994","title":"How (and How Not) to Use Data Augmentation in VLA Post-Training","created":"2026-10-05","cited_by_count":0,"area":"vla"}],"next_cursor":null}