Stebėti
Jakob Foerster
Jakob Foerster
Associate Professor, University of Oxford
Patvirtintas el. paštas eng.ox.ac.uk - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Counterfactual Multi-Agent Policy Gradients
J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
AAAI 2018, Outstanding Student Paper Award, 2017
15872017
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
15202016
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
14282020
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
6212017
The starcraft multi-agent challenge
M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ...
arXiv preprint arXiv:1902.04043, 2019
5902019
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
4832018
Hotword recognition
M Sharifi, JN Foerster
US Patent 9,928,840, 2018
3712018
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
2772020
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
2732018
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
2302015
Dynamic threshold for speaker verification
J Foerster, DM Casado
US Patent 9,384,738, 2016
2102016
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
2052019
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
1482016
Bayesian action decoder for deep multi-agent reinforcement learning
JN Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
ICML 2019, 2018
1432018
Exploratory combinatorial optimization with reinforcement learning
TD Barrett, WR Clements, JN Foerster, AI Lvovsky
AAAI 2020, 2019
1182019
On the pitfalls of measuring emergent communication
R Lowe, J Foerster, YL Boureau, J Pineau, Y Dauphin
arXiv preprint arXiv:1903.05168, 2019
1132019
"Other-Play" for Zero-Shot Coordination
H Hu, A Lerer, A Peysakhovich, J Foerster
ICML 2020, 2020
1072020
Stable Opponent Shaping in Differentiable Games
A Letcher, J Foerster, D Balduzzi, T Rocktäschel, S Whiteson
Proceedings International Conference on Learning Representations 2019, 2018
952018
Multi-agent common knowledge reinforcement learning
CA Schroeder de Witt, JN Foerster, G Farquhar, PHS Torr, W Boehmer, ...
NeurIPS 2019, 2018
92*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
782018
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Straipsniai 1–20