{"total":34,"rows":[{"id":"2505.18719","title":"VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning","created":"2025-05-24","cited_by_count":176,"area":"vla"},{"id":"2502.05450","title":"ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy","created":"2025-02-08","cited_by_count":154,"area":"vla"},{"id":"2505.03233","title":"GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data","created":"2025-05-06","cited_by_count":123,"area":"vla"},{"id":"2511.00091","title":"Self-Improving Vision-Language-Action Models with Data Generation via Residual RL","created":"2025-10-30","cited_by_count":78,"area":"vla"},{"id":"2509.15937","title":"A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning","created":"2025-09-19","cited_by_count":71,"area":"vla"},{"id":"2604.23073","title":"RL Token: Bootstrapping Online RL with Vision-Language-Action Models","created":"2026-04-24","cited_by_count":49,"area":"vla"},{"id":"2512.01801","title":"GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation","created":"2025-12-01","cited_by_count":45,"area":"vla"},{"id":"2601.03044","title":"SOP: A Scalable Online Post-Training System for Vision-Language-Action Models","created":"2026-01-06","cited_by_count":21,"area":"vla"},{"id":"2605.00416","title":"Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies","created":"2026-05-01","cited_by_count":15,"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":"2603.05868","title":"AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models","created":"2026-03-06","cited_by_count":8,"area":"vla"},{"id":"2505.02166","title":"CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation","created":"2025-05-04","cited_by_count":6,"area":"vla"},{"id":"2508.05186","title":"Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation","created":"2025-08-07","cited_by_count":5,"area":"vla"},{"id":"2602.20715","title":"IG-RFT: An Interaction-Guided RL Framework for VLA Models in Long-Horizon Robotic Manipulation","created":"2026-02-24","cited_by_count":5,"area":"vla"},{"id":"2512.11362","title":"An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges","created":"2025-12-12","cited_by_count":4,"area":"vla"},{"id":"2606.09337","title":"TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation","created":"2026-06-08","cited_by_count":4,"area":"vla"},{"id":"2605.17486","title":"DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization","created":"2026-05-17","cited_by_count":2,"area":"vla"},{"id":"2606.09630","title":"ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies","created":"2026-06-08","cited_by_count":2,"area":"vla"},{"id":"2606.10305","title":"SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation","created":"2026-06-09","cited_by_count":2,"area":"vla"},{"id":"2608.23831","title":"Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency","created":"2026-08-24","cited_by_count":2,"area":"vla"},{"id":"2609.18207","title":"Reinforcement Learning for Real-Time Vision-Language-Action Policies","created":"2026-09-16","cited_by_count":2,"area":"vla"},{"id":"2603.16218","title":"Enabling Dynamic Tracking in Vision-Language-Action Models via Time-Discrete and Time-Continuous Velocity Feedforward","created":"2026-03-17","cited_by_count":1,"area":"vla"},{"id":"2605.30226","title":"BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models","created":"2026-05-28","cited_by_count":1,"area":"vla"},{"id":"2606.22860","title":"HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning","created":"2026-06-22","cited_by_count":1,"area":"vla"},{"id":"2608.11363","title":"Adaptation of Generalist Robot Policies with Minimal Data","created":"2026-08-11","cited_by_count":1,"area":"vla"},{"id":"2608.16837","title":"HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL","created":"2026-08-17","cited_by_count":1,"area":"vla"},{"id":"2608.29967","title":"Training-Free Action Correction for VLA Model Failures via Language Feedback","created":"2026-08-30","cited_by_count":1,"area":"vla"},{"id":"2606.17011","title":"ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement Learning","created":"2026-06-15","cited_by_count":0,"area":"vla"},{"id":"2609.06114","title":"Where Success Breaks: Failure-Boundary Learning for Robust Vision-Language-Action Models","created":"2026-09-05","cited_by_count":0,"area":"vla"},{"id":"2609.22888","title":"Stable and Efficient Real-World Online VLA Post-Training via Asynchronous Replay-Anchored Policy Improvement","created":"2026-09-19","cited_by_count":0,"area":"vla"},{"id":"2609.24118","title":"CARE: Experience-Guided Atomic Corrective Execution for Vision-Language-Action Policies","created":"2026-09-21","cited_by_count":0,"area":"vla"},{"id":"2609.27450","title":"BEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.33765","title":"Principal Steering Subspaces for Online Adaptation of Frozen Generative Robot Policies","created":"2026-09-27","cited_by_count":0,"area":"vla"},{"id":"2609.36588","title":"Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine Tuning","created":"2026-09-29","cited_by_count":0,"area":"vla"}],"next_cursor":null}