← authors · overview

• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
  2019 · 282 citations
• SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
  2020 · 16 citations
• Meta-World+: An Improved, Standardized, RL Benchmark
  2025
• Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
  2018
• Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning
  2023
• MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy
  2023