{"total":36,"rows":[{"id":"2511.14759","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","created":"2025-11-18","cited_by_count":303,"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":"2601.07060","title":"PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation","created":"2026-01-11","cited_by_count":21,"area":"vla"},{"id":"2603.26666","title":"VLA-OPD: Bridging Offline SFT and Online RL for Vision-Language-Action Models via On-Policy Distillation","created":"2026-03-27","cited_by_count":13,"area":"vla"},{"id":"2605.25477","title":"EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models","created":"2026-05-25","cited_by_count":11,"area":"vla"},{"id":"2602.05765","title":"RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training","created":"2026-02-05","cited_by_count":7,"area":"vla"},{"id":"2602.12691","title":"ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training","created":"2026-02-13","cited_by_count":7,"area":"vla"},{"id":"2605.10821","title":"UniSteer: Unified Noise Steering for Efficient Human-Guided VLA Adaptation","created":"2026-05-11","cited_by_count":6,"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":"2606.13675","title":"Improving Robotic Generalist Policies via Flow Reversal Steering","created":"2026-06-11","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":"2606.12299","title":"Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering","created":"2026-06-10","cited_by_count":4,"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":"2606.08015","title":"Q-VGM: Q-Guided Value-Gradient Matching for Offline-to-Online RL of Flow-Matching VLA Policies","created":"2026-06-06","cited_by_count":3,"area":"vla"},{"id":"2606.31958","title":"Adapting Generalist Robot Policies with Semantic Reinforcement Learning","created":"2026-06-30","cited_by_count":3,"area":"vla"},{"id":"2608.14822","title":"Imagining Recovery: Inference-Time Counterfactual Realignment for Vision-Language-Action Models","created":"2026-08-14","cited_by_count":3,"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":"2606.10305","title":"SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation","created":"2026-06-09","cited_by_count":2,"area":"vla"},{"id":"2606.24884","title":"InSight: Self-Guided Skill Acquisition via Steerable VLAs","created":"2026-06-23","cited_by_count":2,"area":"vla"},{"id":"2607.12931","title":"ExToken: Structured Exploration for Efficient Vision-Language-Action Reinforcement Fine-tuning","created":"2026-07-14","cited_by_count":2,"area":"vla"},{"id":"2607.16506","title":"Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models","created":"2026-07-17","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":"2606.14375","title":"Elastic Queries Reinforcement Learning: Self-Aware Policy Execution for VLA Models","created":"2026-06-12","cited_by_count":1,"area":"vla"},{"id":"2606.18953","title":"Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement","created":"2026-06-17","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":"2608.21740","title":"CounterAlign: Counterfactual Supervision for Vision-Language-Action Models","created":"2026-08-22","cited_by_count":1,"area":"vla"},{"id":"2609.32069","title":"Find Something You Can't Do: Agentic Real-World Reinforcement Learning for Self-Improving VLA Models","created":"2026-09-25","cited_by_count":1,"area":"vla"},{"id":"2606.09009","title":"Scaling by Diversified Experience for Vision-Language-Action Models","created":"2026-06-08","cited_by_count":0,"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":"2609.30868","title":"VLaRL: Augmenting Vision-Language-Action Models with Simulation-Trained Latent-Conditioned Residual RL","created":"2026-09-25","cited_by_count":0,"area":"vla"},{"id":"2609.34599","title":"The Low-Rank Structure of VLA Reinforcement Learning","created":"2026-09-28","cited_by_count":0,"area":"vla"},{"id":"2610.00913","title":"eRLT: Efficient VLA Reinforcement Learning via Action-Relevant Token Routing","created":"2026-10-01","cited_by_count":0,"area":"vla"},{"id":"2610.12914","title":"OGPO: Offline Goal-conditioned Policy Optimization for Recoverable Vision-Language-Action Models","created":"2026-10-09","cited_by_count":0,"area":"vla"}],"next_cursor":null}