Jianhong Wang’s Academic Personal Website

Ph.D. Thesis

My Ph.D. thesis entitled Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network is available.

Short Bio

I am a Postdoctoral Research Associate at the University of Manchester, UK, working with Prof. Samuel Kaski, and a member of the European Lab for Learning and Intelligent Systems (ELLIS).

I obtained my Ph.D. degree from Imperial College London, UK, in 2024, under supervision of Dr. Yunjie Gu, Prof. Tim C. Green and Prof. Tae-Kyun Kim. Before that, I obtained my M.Res. degree in Web Science and Big Data Analytics, from University College London (UCL), UK, with distinction, in 2018, under supervision of Prof. Jun Wang, as well as my M.Sc. degree in Computing (Machine Learning), from Imperial College London, UK, with merit, in 2017, under supervision of Prof. Björn Schuller for the master project. Earlier, I obtained my B.Eng. degree in Computer Science and Electronic Engineering, from University of Liverpool, UK, with the first-class honours degree, in 2016, under supervison of Prof. Danushka Bollegala and Prof. Karl Tuyls for the final year project.

Research Interests

My primary research interests revolve around Multi-Agent Reinforcement Learning, Robust Reinforcement Learning and Ad Hoc Teamwork. About Multi-Agent Reinforcement Learning and Ad Hoc Teamwork, my emphasis lies in designing algorithms through the lens of Cooperative Game Theory. I firmly believe that integrating fundamental mechanisms from Game Theory into the development of learning algorithms can shed light on interpretability, transparency and reliability of comtemporary learning-based Multi-Agent Systems. Beyond theoretical endeavors, I am passionate about the practical applications of Machine Learning algorithms (particularly Multi-Agent Reinforcement Learning) to Autonomous Systems (e.g. Smart Grids, Robotics, Dialogue Systems, etc.).

Personal Updates

  • 13/02/2024: One paper accepted at ICAPS 2024
  • 10/12/2023: One paper accepted at AAAI 2024
  • 22/09/2023: One paper accepted at NeurIPS 2023
  • 31/08/2023: One paper accepted at CoRL 2023
  • 25/04/2023: One paper accepted at ICML 2023
  • 07/02/2023: Joined the Univeristy of Manchester as a Postdoctoral Research Associate

Selected Publications

Open-Source Environment