Publications

For news about publications, follow us on X:

Click on any author names or tags to filter publications.

All topic tags:
survey deep-rl multi-agent-rl agent-modelling ad-hoc-teamwork autonomous-driving goal-recognition explainable-ai causal generalisation security emergent-communication iterated-learning intrinsic-reward simulator state-estimation deep-learning transfer-learning

Selected tags (click to remove):
survey deep-rl

2024

Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MIT Press (print version scheduled for December 2024), 2024
Abstract | BibTex | Book website | Book codebase
MITP multi-agent-rl deep-rl deep-learning survey

@book{ marl-book,
   author = {Stefano V. Albrecht and Filippos Christianos and Lukas Sch\"afer},
   title = {Multi-Agent Reinforcement Learning: Foundations and Modern Approaches},
   publisher = {MIT Press},
   year = {2024},
   url = {https://www.marl-book.com}
}

2022

Stefano V. Albrecht, Michael Wooldridge
Special Issue on Multi-Agent Systems Research in the United Kingdom: Guest Editorial
AI Communications, 2022
Abstract | BibTex | Publisher | Special Issue
AIC survey deep-rl multi-agent-rl agent-modelling

@article{albrecht2020special,
   title = {Special Issue on Multi-Agent Systems Research in the United Kingdom: Guest Editorial},
   author = {Stefano V. Albrecht and Michael Wooldridge},
   journal = {AI Communications},
   volume = {35},
   number = {4},
   year = {2022},
   publisher = {IOS Press},
   url = {https://content.iospress.com/articles/ai-communications/aic229003}
}

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 Communications, 2022
Abstract | BibTex | arXiv | Publisher
AIC survey deep-rl multi-agent-rl ad-hoc-teamwork agent-modelling goal-recognition security explainable-ai autonomous-driving

@article{albrecht2022aic,
   author = {Ahmed, Ibrahim H. and Brewitt, Cillian and Carlucho, Ignacio and Christianos, Filippos and Dunion, Mhairi and Fosong, Elliot and Garcin, Samuel and Guo, Shangmin and Gyevnar, Balint and McInroe, Trevor and Papoudakis, Georgios and Rahman, Arrasy and Schäfer, Lukas and Tamborski, Massimiliano and Vecchio, Giuseppe and Wang, Cheng and Albrecht, Stefano V.},
   title = {Deep Reinforcement Learning for Multi-Agent Interaction},
   journal = {AI Communications, Special Issue on Multi-Agent Systems Research in the UK},
   year = {2022}
}

2019

Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
arXiv:1906.04737, 2019
Abstract | BibTex | arXiv
survey deep-rl multi-agent-rl

@misc{papoudakis2019dealing,
   title={Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning},
   author={Georgios Papoudakis and Filippos Christianos and Arrasy Rahman and Stefano V. Albrecht},
   year={2019},
   eprint={1906.04737},
   archivePrefix={arXiv},
   primaryClass={cs.LG}
}