Georgios Papoudakis

According to our database, Georgios Papoudakis authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lightweight Neural App Control.

Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

CoRR, 2024

2023

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning.

Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht

Trans. Mach. Learn. Res., 2023

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

CoRR, 2023

2022

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

CoRR, 2022

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 Commun., 2022

2021

Agent Modelling under Partial Observability for Deep Reinforcement Learning.

Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing.

Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Opponent Modelling with Local Information Variational Autoencoders.

Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht

CoRR, 2020

Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms.

Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht

CoRR, 2020

Variational Autoencoders for Opponent Modeling in Multi-Agent Systems.

Georgios Papoudakis, Stefano V. Albrecht

CoRR, 2020

2019

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.

Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht

CoRR, 2019

2018

Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks.

Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas

CoRR, 2018

2017

A Generative Model for Sparse, Evolving Digraphs.

Georgios Papoudakis, Philippe Preux, Martin Monperrus

Proceedings of the Complex Networks & Their Applications VI, 2017