Filippos Christianos
Filippos Christianos
Verified email at ed.ac.uk
Title
Cited by
Cited by
Year
Dealing with non-stationarity in multi-agent deep reinforcement learning
G Papoudakis, F Christianos, A Rahman, SV Albrecht
arXiv preprint arXiv:1906.04737, 2019
482019
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
G Papoudakis, F Christianos, L Schäfer, SV Albrecht
13*2021
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
102020
Efficient multi-criteria coalition formation using hypergraphs (with application to the v2g problem)
F Christianos, G Chalkiadakis
Multi-Agent Systems and Agreement Technologies, 92-108, 2016
32016
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
2*2021
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
22021
Opponent Modelling with Local Information Variational Autoencoders
G Papoudakis, F Christianos, SV Albrecht
arXiv e-prints, arXiv: 2006.09447, 2020
22020
Employing hypergraphs for efficient coalition formation with application to the V2G problem
F Christianos, G Chalkiadakis
ECAI 2016, 1604-1605, 2016
22016
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, 1-12, 2020
12020
Decoupling Exploration and Exploitation in Reinforcement Learning
L Schäfer, F Christianos, J Hanna, SV Albrecht
arXiv preprint arXiv:2107.08966, 2021
2021
Local Information Opponent Modelling Using Variational Autoencoders
G Papoudakis, F Christianos, SV Albrecht
arXiv preprint arXiv:2006.09447, 2020
2020
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Articles 1–11