Filippos Christianos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Electric Vehicle Charging

Guided Exploration

Top Venues

Publications

Eleftherios Triantafyllidis, Filippos Christianos, Zhibin Li
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks. ICRA (2024)
Adam Michalski, Filippos Christianos, Stefano V. Albrecht
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning. CoRR (2023)
Callum Rhys Tilbury, Filippos Christianos, Stefano V. Albrecht
Revisiting the Gumbel-Softmax in MADDPG. CoRR (2023)
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)
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR (2023)
Eleftherios Triantafyllidis, Filippos Christianos, Zhibin Li
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks. 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)
Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA (2023)
Lukas Schäfer, Filippos Christianos, Josiah P. Hanna, Stefano V. Albrecht
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration. AAMAS (2022)
Filippos Christianos
Collaborative Training of Multiple Autonomous Agents. AAMAS (2022)
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
iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources. Simul. Model. Pract. Theory 115 (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)
Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. 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)
Lukas Schäfer, Filippos Christianos, Amos J. Storkey, Stefano V. Albrecht
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning. CoRR (2022)
Filippos Christianos, Georgios Papoudakis, Muhammad A. Rahman, Stefano V. Albrecht
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. ICML (2021)
Muhammad A. Rahman, Niklas Hopner, Filippos Christianos, Stefano V. Albrecht
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. 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)
Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht
Decoupling Exploration and Exploitation in Reinforcement Learning. CoRR (2021)
Arrasy Rahman, Niklas Hopner, Filippos Christianos, Stefano V. Albrecht
Open Ad Hoc Teamwork using Graph-based Policy Learning. CoRR (2020)
Georgios Papoudakis, Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms. CoRR (2020)
Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. CoRR (2020)
Georgios Papoudakis, Filippos Christianos, Stefano V. Albrecht
Opponent Modelling with Local Information Variational Autoencoders. CoRR (2020)
Filippos Christianos, Lukas Schäfer, Stefano V. Albrecht
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning. NeurIPS (2020)
Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Filippos Christianos, Georgios Chalkiadakis
Efficient Multi-criteria Coalition Formation Using Hypergraphs (with Application to the V2G Problem). EUMAS/AT (2016)
Filippos Christianos, Georgios Chalkiadakis
Employing Hypergraphs for Efficient Coalition Formation with Application to the V2G Problem. ECAI (2016)