Reinforcement Learning, Multiagent Systems, Game Theory
I am a PhD in Computer Science (thesis defended) 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 (Machine Learning) at Microsoft Research Cambridge (Summer 2019) where I was supervised by Dr. Sebastian Tschiatschek. I was a Machine Learning Intern (Natural Language Processing) at Apple Siri Cambridge (Summer 2017) where I was supervised by Dr. Thomas Voice.
Please find more details on my personal homepage. I am graduating around May 2022 and am actively seeking full time opportunities. Please feel free to contact me via email.
Multiagent Model−based Credit Assignment for Continuous Control
Dongge Han‚ Chris Xiaoxuan Lu‚ Tomasz P. Michalak and Michael Wooldridge
Replication−Robust Payoff−Allocation for Machine Learning Data Markets
Dongge Han‚ Michael Wooldridge‚ Alex Rogers‚ Shruti Tople‚ Olga Ohrimenko and Sebastian Tschiatschek
Multi−Agent Hierarchical Reinforcement Learning with Dynamic Termination
Dongge Han‚ Wendelin Boehmer‚ Michael Wooldridge and Alex Rogers