Filippos Christianos

According to our database, Filippos Christianos authored at least 24 papers between 2016 and 2023.

Collaborative distances:

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

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

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.

Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang

CoRR, 2023

Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks.

Eleftherios Triantafyllidis, Filippos Christianos, Zhibin Li

CoRR, 2023

SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning.

Adam Michalski, Filippos Christianos, Stefano V. Albrecht

CoRR, 2023

Revisiting the Gumbel-Softmax in MADDPG.

Callum Rhys Tilbury, Filippos Christianos, Stefano V. Albrecht

CoRR, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.

Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources.

Athanasios Aris Panagopoulos, Filippos Christianos, Michail Katsigiannis, Konstantinos Mykoniatis, Georgios Chalkiadakis, Marco Pritoni, Therese Peffer, Orestis P. Panagopoulos, Emmanouil S. Rigas, David E. Culler, Nicholas R. Jennings, Timothy Lipman

Simul. Model. Pract. Theory, 2022

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

Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht

CoRR, 2022

Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning.

Lukas Schäfer, Filippos Christianos, Amos J. Storkey, 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

Collaborative Training of Multiple Autonomous Agents.

Filippos Christianos

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration.

Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Decoupling Exploration and Exploitation in Reinforcement Learning.

Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht

CoRR, 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

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning.

Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht

Proceedings of the 38th International Conference on Machine Learning, 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

Open Ad Hoc Teamwork using Graph-based Policy Learning.

Arrasy Rahman, Niklas Höpner, Filippos Christianos, Stefano V. Albrecht

CoRR, 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

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning.

Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

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

CoRR, 2019

2016

Efficient Multi-criteria Coalition Formation Using Hypergraphs (with Application to the V2G Problem).

Filippos Christianos, Georgios Chalkiadakis

Proceedings of the Multi-Agent Systems and Agreement Technologies, 2016

Employing Hypergraphs for Efficient Coalition Formation with Application to the V2G Problem.

Filippos Christianos, Georgios Chalkiadakis

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016