Dr Yali Du is a Senior Lecturer (Associate Professor) in AI at King’s College London, and a Turing Fellow at The Alan Turing Institute. She leads the Cooperative AI Lab. Her research aims to enable machines to exhibit cooperative and safe behaviour in intelligent decision making tasks. Her work focuses on reinforcement learning and multi-agent cooperation, with topics such as generalization, zero-shot coordination, evaluation of human and AI players, and social agency (e.g., human-involved learning, safety, and ethics). She was chosen for the AAAI New Faculty Highlights award (2023), Rising Star in AI 2023. She has given tutorials on cooperative multi-agent learning at ACML 2022 and AAAI 2023. She serves as the editors for Journal of AAMAS and IEEE Transactions on AI, Area Chair for NeurIPS 2024. She also serves in organising committee for AAMAS 2023 and NeurIPS 2024. Her research is also supported by the Engineering and Physical Sciences Research Council(EPSRC) and AI Safety Insitute (AISI).

Excited to share that we receive support from the UK AI Safety Institute for our research on the systemic safety of large language models, with a particular focus on the emergent behaviors of LLM agent groups. One Postdoc position is funded.

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What’s New

  • 18 Mar 2025 - We’ve released SocialJax — a suite of sequential social dilemma environments for multi-agent RL in JAX, developed together with DeepMind researcher Joel Leibo. Built for speed, SocialJax leverages JAX’s GPU/TPU acceleration to scale MARL research. Code is available here.
  • 18 Mar 2025 The UK Multi-Agent Systems Symposium 2025 (UK-MAS) will be held at King’s College London as a fringe event of AI UK. We warmly welcome you to attend!

I will speak at the following events:

Contact

Email: yali.du AT kcl.ac.uk
Address: Bush House, 30 Aldwych, WC2B 4BG