Georgios Papoudakis

About Me

I am a research scientist at Huawei Noah’s Ark lab in London. Previously, I was a PhD student at the University of Edinburgh supervised by Dr. Stefano Albrecht. My PhD research was mainly focused on multi-agent reinforcement learning. Before moving to Edinburgh, I completed a Diploma (combined BSc and MSc) in Electrical and Computer Engineering at the Aristotle University of Thessaloniki. I have completed two research internships; one in team SequeL in Inria-Lille and one in Dematic.

Publications

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
Filippos Christianos*, Georgios Papoudakis*, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang.
Arxiv Preprint, 2023.
paper

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos*, Georgios Papoudakis*, Stefano V. Albrecht.
Transactions on Machine Learning Research, 2023.
paper

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic, Jonathan D Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V Albrecht Arxiv Preprint, 2022.
paper

Deep Reinforcement Learning for Multi-Agent Interaction
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht.
AI Communications (AIC), 2022.
paper

Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht.
Conference on Neural Information Processing Systems (NeurIPS), 2021.
paper code

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis*, Filippos Christianos*, Lukas Schafer, Stefano V. Albrecht.
Conference on Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS), 2021.
paper code

Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht.
International Conference on Machine Learning (ICML), 2021.
paper code

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, and Stefano V. Albrecht.
Arxiv Preprint, 2019.
paper

A Generative Model for Sparse, Evolving Digraphs
Georgios Papoudakis, Philippe Preux, and Martin Monperrus.
International Conference on Complex Networks and their Applications, 2017.
paper code

Teaching

Since 2018, I have been teaching the following courses at the University of Edinburgh.

Reinforcement Learning: Teaching Assistant, Demonstrator, Tutor, Marker
Introductory Applied Machine Learning: Demonstrator, Tutor, Marker
Machine Learning Practical: Demonstrator, Marker

Services

Reviewer: JMLR, ICLR, NeurIPS, NeurIPS Track on Datasets and Benchmarks, AAAI