| Benchmarking multi-agent deep reinforcement learning algorithms in cooperative tasks G Papoudakis *, F Christianos * (eq. contrib), L Schäfer, SV Albrecht Advances in Neural Information Processing Systems, Track on Datasets and …, 2020 | 258* | 2020 |
| Dealing with non-stationarity in multi-agent deep reinforcement learning G Papoudakis, F Christianos, A Rahman, SV Albrecht arXiv preprint arXiv:1906.04737, 2019 | 206 | 2019 |
| Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning F Christianos, L Schäfer, SV Albrecht Advances in Neural Information Processing Systems 33, 10707-10717, 2020 | 164 | 2020 |
| Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing F Christianos, G Papoudakis, A Rahman, SV Albrecht International Conference on Machine Learning, 1989-1998, 2021 | 109 | 2021 |
| Multi-agent reinforcement learning: Foundations and modern approaches SV Albrecht, F Christianos, L Schäfer MIT Press, 2024 | 64 | 2024 |
| Agent modelling under partial observability for deep reinforcement learning G Papoudakis, F Christianos, S Albrecht Advances in Neural Information Processing Systems 34, 19210-19222, 2021 | 59* | 2021 |
| Towards open ad hoc teamwork using graph-based policy learning MA Rahman, N Hopner, F Christianos, SV Albrecht International conference on machine learning, 8776-8786, 2021 | 52 | 2021 |
| Decoupled reinforcement learning to stabilise intrinsically-motivated exploration L Schäfer, F Christianos, JP Hanna, SV Albrecht arXiv preprint arXiv:2107.08966, 2021 | 36* | 2021 |
| Deep reinforcement learning for multi-agent interaction IH Ahmed, C Brewitt, I Carlucho, F Christianos, M Dunion, E Fosong, ... Ai Communications 35 (4), 357-368, 2022 | 14 | 2022 |
| Pangu-agent: A fine-tunable generalist agent with structured reasoning F Christianos, G Papoudakis, M Zimmer, T Coste, Z Wu, J Chen, ... arXiv preprint arXiv:2312.14878, 2023 | 7 | 2023 |
| Planning with occluded traffic agents using bi-level variational occlusion models F Christianos, P Karkus, B Ivanovic, SV Albrecht, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 5558-5565, 2023 | 7 | 2023 |
| A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons AA Panagopoulos, F Christianos, M Katsigiannis, K Mykoniatis, M Pritoni, ... Advances in Building Energy Research 16 (2), 202-213, 2022 | 6 | 2022 |
| Efficient multi-criteria coalition formation using hypergraphs (with application to the v2g problem) F Christianos, G Chalkiadakis Multi-Agent Systems and Agreement Technologies: 14th European Conference …, 2017 | 6 | 2017 |
| SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning A Michalski, F Christianos, SV Albrecht arXiv preprint arXiv:2305.05566, 2023 | 5 | 2023 |
| Learning task embeddings for teamwork adaptation in multi-agent reinforcement learning L Schäfer, F Christianos, A Storkey, SV Albrecht arXiv preprint arXiv:2207.02249, 2022 | 5 | 2022 |
| Employing hypergraphs for efficient coalition formation with application to the V2G problem F Christianos, G Chalkiadakis ECAI 2016, 1604-1605, 2016 | 4 | 2016 |
| Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models X Yan, Y Song, X Cui, F Christianos, H Zhang, DH Mguni, J Wang arXiv preprint arXiv:2310.18127, 2023 | 3 | 2023 |
| Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning F Christianos, G Papoudakis, SV Albrecht arXiv preprint arXiv:2209.14344, 2022 | 3 | 2022 |
| iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources AA Panagopoulos, F Christianos, M Katsigiannis, K Mykoniatis, ... Simulation Modelling Practice and Theory 115, 102439, 2022 | 3 | 2022 |
| Intrinsic language-guided exploration for complex long-horizon robotic manipulation tasks E Triantafyllidis, F Christianos, Z Li arXiv preprint arXiv:2309.16347, 2023 | 2 | 2023 |
Stefano V. AlbrechtSchool of Informatics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
