Georgios Papoudakis

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Multi Agent Reinforcement Learning

Partial Observability

Reinforcement Learning

Top Venues

NeurIPS Datasets and Benchmarks

Publications

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
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR (2023)
Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. CoRR (2022)
Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning. CoRR (2022)
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
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR (2022)
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
Deep reinforcement learning for multi-agent interaction. AI Commun. 35 (4) (2022)
Filippos Christianos, Georgios Papoudakis, Muhammad A. Rahman, Stefano V. Albrecht
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. ICML (2021)
Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks. NeurIPS Datasets and Benchmarks (2021)
Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht
Agent Modelling under Partial Observability for Deep Reinforcement Learning. NeurIPS (2021)
Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. CoRR (2021)
Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms. CoRR (2020)
Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht
Opponent Modelling with Local Information Variational Autoencoders. CoRR (2020)
Georgios Papoudakis, Stefano V. Albrecht
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems. CoRR (2020)
Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks. CoRR (2018)
Georgios Papoudakis, Philippe Preux, Martin Monperrus
A Generative Model for Sparse, Evolving Digraphs. COMPLEX NETWORKS (2017)
Georgios Papoudakis, Philippe Preux, Martin Monperrus
A generative model for sparse, evolving digraphs. CoRR (2017)