Muhammad Arrasy Rahman
Postdoctoral Research Fellow at the Learning Agents Research Group.

Gates-Dell Complex Room 3.418
2317 Speedway
The University of Texas at Austin
Austin, Texas 78712
I am a Postdoctoral Research Fellow at Professor Peter Stone’s Learning Agents Research Group (LARG) at UT Austin. Prior to my current position, I obtained my masters and doctorate degree from the University of Edinburgh, where I was a member of the Autonomous Agents Research group headed by Dr. Stefano Albrecht. Originally, I was born in Indonesia and lived there until I obtained my undergraduate degree from Universitas Indonesia.
My research interests broadly encompass game theory, reinforcement learning, transfer learning and graph neural networks. I am specifically interested in their application in the ad hoc teamwork (AHT) problem, which explores techniques to create autonomous agents that can quickly adapt their policies to optimally interact with previously unseen teammate policies and team configurations. Through my research, my long-term goal is to build intelligent agents that can collaborate on-the-fly with humans to help them solve various collaborative decision-making problems encountered in their daily lives.
At the moment, I am exploring methods to generate a diverse population of teammate policies that can be utilized to train robust agents capable of optimally collaborating against different teammate policies. My belief is the trained agent’s robustness can be maximized if we design a population of teammate policies requiring the trained agent to play distinct best-response policies. If you are also interested in this area of research, please do not hesitate to contact me.
News
Sep 25, 2023 | We are going to organize a workshop at AAAI-24. Check out the details for our upcoming workshop here. |
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Aug 21, 2023 | ![]() |
May 24, 2023 | ![]() |
Dec 8, 2022 | After an examination from Professor Michael Rovatsos and Professor Michael Bowling, I have successfully defended my PhD thesis. |
Oct 8, 2022 | I am joining UT Austin’s Learning Agents Research Group as a Research Fellow. |
Selected Publications
2023
- Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response DiversityTransactions on Machine Learning Research, 2023
- JMLRA General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy LearningJournal of Machine Learning Research, 2023
- arXivMinimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents2023
2022
- EUMASA survey of ad hoc teamwork researchIn European Conference on Multi-Agent Systems, 2022
- arXivA General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy LearningarXiv preprint arXiv:2210.05448, 2022
2021
- Towards open ad hoc teamwork using graph-based policy learningIn International Conference on Machine Learning, 2021