← authors · overview

• SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
  2020 · 104 citations
• Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
  2019 · 51 citations
• MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
  2021 · 25 citations
• Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
  2021 · 10 citations
• Learning in Nonzero-Sum Stochastic Games with Potentials
  2021 · 10 citations
• Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
  2019 · 5 citations
• OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
  2024 · 2 citations
• ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
  2025 · 1 citations
• PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
  2025
• Joint Perception and Control as Inference with an Object-based Implementation
  2019
• Neural Auto-Curricula
  2021
• GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
  2023
• RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
  2024