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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

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Georgios-Papoudakis survey

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 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}
}