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• Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
  2017 · 188 citations
• R-MADDPG for Partially Observable Environments and Limited Communication
  2020 · 64 citations
• A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
  2020 · 12 citations
• Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games
  2019 · 9 citations
• Transferable Pedestrian Motion Prediction Models at Intersections
  2018 · 7 citations
• Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
  2020 · 5 citations
• Influencing Long-Term Behavior in Multiagent Reinforcement Learning
  2022 · 5 citations
• Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
  2017 · 4 citations