Jakob Foerster
Jakob Foerster
Associate Professor, University of Oxford
Verified email at - Homepage
Cited by
Cited by
Counterfactual Multi-Agent Policy Gradients
J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
AAAI 2018, Outstanding Student Paper Award, 2017
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson
JMLR, 2020
Learning to communicate with deep multi-agent reinforcement learning
J Foerster, YM Assael, N de Freitas, S Whiteson
Advances in Neural Information Processing Systems., 2137--2145, 2016
The starcraft multi-agent challenge
M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ...
arXiv preprint arXiv:1902.04043, 2019
Stabilising experience replay for deep multi-agent reinforcement learning
J Foerster, N Nardelli, G Farquhar, P Torr, P Kohli, S Whiteson
International Conference on Machine Learning, 2017, 2017
Learning with opponent-learning awareness
J Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
Hotword recognition
M Sharifi, JN Foerster
US Patent 9,928,840, 2018
The hanabi challenge: A new frontier for ai research
N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ...
Artificial Intelligence 280, 103216, 2020
The Mechanics of n-Player Differentiable Games
D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel
Proceedings of the 35th International Conference on Machine Learning, 2018
A survey of reinforcement learning informed by natural language
J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ...
arXiv preprint arXiv:1906.03926, 2019
Three-dimensional head-direction coding in the bat brain
A Finkelstein, D Derdikman, A Rubin, JN Foerster, L Las, N Ulanovsky
Nature 517 (7533), 159-164, 2015
Dynamic threshold for speaker verification
J Foerster, DM Casado
US Patent 9,384,738, 2016
Exploratory combinatorial optimization with reinforcement learning
TD Barrett, WR Clements, JN Foerster, AI Lvovsky
AAAI 2020, 2019
Learning to communicate to solve riddles with deep distributed recurrent q-networks
JN Foerster, YM Assael, N de Freitas, S Whiteson
IJCAI 2016 Deep Learning Workshop, 2016
Bayesian action decoder for deep multi-agent reinforcement learning
JN Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
ICML 2019, 2018
"Other-Play" for Zero-Shot Coordination
H Hu, A Lerer, A Peysakhovich, J Foerster
ICML 2020, 2020
On the pitfalls of measuring emergent communication
R Lowe, J Foerster, YL Boureau, J Pineau, Y Dauphin
arXiv preprint arXiv:1903.05168, 2019
Stable Opponent Shaping in Differentiable Games
A Letcher, J Foerster, D Balduzzi, T Rocktäschel, S Whiteson
Proceedings International Conference on Learning Representations 2019, 2018
Multi-agent common knowledge reinforcement learning
CA Schroeder de Witt, JN Foerster, G Farquhar, PHS Torr, W Boehmer, ...
NeurIPS 2019, 2018
Pommerman: A multi-agent playground
C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ...
NeurIPS 2018 Competition track, 2018
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