{"total":23,"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":"2509.09674","title":"SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning","created":"2025-09-11","cited_by_count":151,"area":"vla"},{"id":"2505.17016","title":"Interactive Post-Training for Vision-Language-Action Models","created":"2025-05-22","cited_by_count":135,"area":"vla"},{"id":"2506.19850","title":"Unified Vision-Language-Action Model","created":"2025-06-24","cited_by_count":134,"area":"vla"},{"id":"2507.01925","title":"A Survey on Vision-Language-Action Models: An Action Tokenization Perspective","created":"2025-07-02","cited_by_count":96,"area":"vla"},{"id":"2603.22435","title":"CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation","created":"2026-03-23","cited_by_count":88,"area":"vla"},{"id":"2506.08440","title":"TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization","created":"2025-06-10","cited_by_count":49,"area":"vla"},{"id":"2510.01623","title":"VLA-R1: Enhancing Reasoning in Vision-Language-Action Models","created":"2025-10-02","cited_by_count":38,"area":"vla"},{"id":"2601.22153","title":"DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation","created":"2026-01-29","cited_by_count":34,"area":"vla"},{"id":"2505.23450","title":"Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents","created":"2025-05-29","cited_by_count":30,"area":"vla"},{"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":"2505.19767","title":"RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal Feedback","created":"2025-05-26","cited_by_count":20,"area":"vla"},{"id":"2603.11653","title":"Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning","created":"2026-03-12","cited_by_count":17,"area":"vla"},{"id":"2511.17889","title":"MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots","created":"2025-11-22","cited_by_count":15,"area":"vla"},{"id":"2508.12211","title":"Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search","created":"2025-08-17","cited_by_count":13,"area":"vla"},{"id":"2511.12149","title":"AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models","created":"2025-11-15","cited_by_count":12,"area":"vla"},{"id":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2603.09542","title":"NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models","created":"2026-03-10","cited_by_count":2,"area":"vla"},{"id":"2603.17524","title":"KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition","created":"2026-03-18","cited_by_count":1,"area":"vla"},{"id":"2607.01658","title":"Teaching Vision-Language-Action Models What to See and Where to Look","created":"2026-07-02","cited_by_count":1,"area":"vla"},{"id":"2604.01570","title":"Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior","created":"2026-04-02","cited_by_count":0,"area":"vla"},{"id":"2605.19580","title":"PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models","created":"2026-05-19","cited_by_count":0,"area":"vla"}],"next_cursor":null}