VLaRL: Augmenting Vision-Language-Action Models with Simulation-Trained Latent-Conditioned Residual RL
cs.RO
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- RT-1: Robotics Transformer for Real-World Control at Scale
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
- RL Token: Bootstrapping Online RL with Vision-Language-Action Models
- Residual Policy Learning
- Residual Reinforcement Learning from Demonstrations
- Residual Off-Policy RL for Finetuning Behavior Cloning Policies
- Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
- Refined Policy Distillation: From VLA Generalists to RL Experts
- Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
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