← authors · overview

• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023 · 101 citations
• VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
  2022 · 35 citations
• Learning Performance-Improving Code Edits
  2023 · 25 citations
• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
  2024 · 3 citations
• How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
  2022 · 2 citations
• LLM Program Optimization via Retrieval Augmented Search
  2025
• Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping
  2026
• Optimal Program Synthesis via Abstract Interpretation
  2026
• Purely Agentic Black-Box Optimization for Biological Design
  2026
• Active Learning for Neurosymbolic Program Synthesis
  2025
• Effective Reinforcement Learning for Reasoning in Language Models
  2025
• Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
  2019
• Eureka: Human-Level Reward Design via Coding Large Language Models
  2023
• Eurekaverse: Environment Curriculum Generation via Large Language Models
  2024