← authors · overview

• Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
  2021 · 83 citations
• Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
  2022 · 79 citations
• MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
  2021 · 25 citations
• Settling the Variance of Multi-Agent Policy Gradients
  2021 · 24 citations
• Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
  2021 · 11 citations
• OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
  2024 · 2 citations
• Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
  2025 · 1 citations
• Reinforcing Language Agents via Policy Optimization with Action Decomposition
  2024 · 1 citations
• PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness
  2025
• MARFT: Multi-Agent Reinforcement Fine-Tuning
  2025