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• Thinking Fast and Slow with Deep Learning and Tree Search
  2017 · 139 citations
• SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
  2020 · 104 citations
• A Regularized Opponent Model with Maximum Entropy Objective
  2019 · 21 citations
• Multi-Agent Constrained Policy Optimisation
  2021 · 16 citations
• A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
  2021 · 4 citations
• Tri-Modal Motion Retrieval by Learning a Joint Embedding Space
  2024 · 2 citations
• Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
  2022 · 1 citations
• An Empirical Study on Google Research Football Multi-agent Scenarios
  2023 · 1 citations
• See-Control: A Multimodal Agent Framework for Smartphone Interaction with a Robotic Arm
  2025
• UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots
  2025
• Multi-Modal Motion Retrieval by Learning a Fine-Grained Joint Embedding Space
  2025
• Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
  2022
• Cross-Utterance Conditioned VAE for Speech Generation
  2023
• Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
  2023
• Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework
  2023