← authors · overview

• Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
  2019 · 125 citations
• Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
  2020 · 55 citations
• Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
  2020 · 22 citations
• Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
  2021 · 18 citations
• Agent Modelling under Partial Observability for Deep Reinforcement Learning
  2020 · 13 citations
• Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
  2021 · 5 citations
• Revisiting the Gumbel-Softmax in MADDPG
  2023 · 5 citations
• Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
  2020 · 4 citations
• Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
  2022 · 3 citations
• Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  2022 · 2 citations
• SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
  2023 · 2 citations
• Deep Reinforcement Learning for Multi-Agent Interaction
  2022 · 1 citations
• Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
  2023 · 1 citations
• Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
  2023