Projects and Research Interests

Goal

• VLA Policy Design : Test-Time Action Verification, Best-of-K Selection

• Data-Efficient Self-Improving Learning for Physical AI

• VLA Success Rate Maximization under Real-Time Inference Constraints

Technical Approaches

• Vision-Language-Action (VLA) Models

• Test-Time Verification (Reward Modeling)

• Reinforcement Learning (DPO)