Dongge Han

PhD in Computer Science @ University of Oxford .

I am a PhD in Computer Science at the University of Oxford, supervised by Prof. Michael Wooldridge and Prof. Alex Rogers . My research interests include Multiagent Reinforcement Learning, Hierarchical Reinforcement Learning and Game Theory. In particular, my thesis studies Game-theoretic Payoff Allocation in Multiagent Machine Learning Systems.

Prior to my PhD, I obtained an MSc in Computer Science (Graduated with Distinction, 2016) from the University of Oxford. I obtained a BSc in Physics with a Minor Degree in IT (First class honours, 2015) from the Hong Kong University of Science and Technology. I was an exchange student at EPFL (Spring 2014).

During my PhD, I was a Research Intern at Microsoft Research Cambridge (Summer 2019) where I was supervised by Dr. Sebastian Tschiatschek. I was a Machine Learning Intern at Apple Siri Cambridge (Summer 2017) where I was supervised by Dr. Thomas Voice.

news

Jul 11, 2022 Paper accepted at IEEE Transactions on Artificial Intelligence: Replication Robust Payoff Allocation in Submodular Cooperative Games
Jul 1, 2022 New Affiliation: I will be joining Amazon as an Applied Scientist in the Personalization team.
May 14, 2022 Paper accepted at IJCAI’22 (Long Oral): Option Transfer and SMDP Abstraction with Successor Features
Feb 11, 2022 PhD ThesisThesis Defended! :sparkles: :smile:
Dec 20, 2021 Paper accepted at AAMAS’22 (Oral): Multiagent Model-based Credit Assignment for Continuous Control. Granted scholarship for attending the AAMAS’22 Conference.

selected publications

  1. AAMAS’22
    Multiagent Model-based Credit Assignment for Continuous Control
    Han, Dongge, Lu, Chris Xiaoxuan, Michalak, Tomasz P., and Wooldridge, Michael
    In The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022
    arXiv
  2. IJCAI’22
    Option Transfer and SMDP Abstraction with Successor Features
    Han, Dongge, and Tschiatschek, Sebastian
    The 31st International Joint Conference on Artificial Intelligence 2022
    arXiv
  3. Oxford
    Game-theoretic payoff allocation in multiagent machine learning systems
    Han, Dongge
    2021
  4. IEEE TAI
    Replication Robust Payoff Allocation in Submodular Cooperative Games
    Han, Dongge, Wooldridge, Michael, Rogers, Alex, Tople, Shruti, Ohrimenko, Olga, and Tschiatschek, Sebastian
    IEEE Transactions on Artificial Intelligence 2022
    arXiv
  5. Inf. Comput.
    Behavioural strategies in weighted Boolean games
    Han, Dongge, Harrenstein, Paul, Nugent, Steven, Philpott, Jonathan, and Wooldridge, Michael
    Information and Computation 2021
    HTML
  6. AAMAS’19
    Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination
    Han, Dongge, Boehmer, Wendelin, Wooldridge, Michael, and Rogers, Alex
    In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems 2019
    arXiv