Jakob Foerster
Jakob Foerster
Research Scientist, Facebook AI Research
Vahvistettu sähköpostiosoite verkkotunnuksessa fb.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
7272016
Counterfactual Multi-Agent Policy Gradients
J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
AAAI 2018, Outstanding Student Paper Award, 2017
6202017
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
3262017
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
T Rashid, M Samvelyan, CS de Witt, G Farquhar, J Foerster, S Whiteson
Proceedings of the 35th International Conference on Machine Learning, 2018
3202018
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
2522018
Hotword recognition
M Sharifi, JN Foerster
US Patent 9,928,840, 2018
1922018
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
1532018
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
1492015
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
1032020
The starcraft multi-agent challenge
M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ...
arXiv preprint arXiv:1902.04043, 2019
1032019
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
1022016
Dynamic threshold for speaker verification
J Foerster, DM Casado
US Patent 9,384,738, 2016
1012016
Control of vocal and respiratory patterns in birdsong: dissection of forebrain and brainstem mechanisms using temperature
AS Andalman, JN Foerster, MS Fee
PloS one 6 (9), e25461, 2011
622011
Bayesian action decoder for deep multi-agent reinforcement learning
JN Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
ICML 2019, 2018
612018
On the pitfalls of measuring emergent communication
R Lowe, J Foerster, YL Boureau, J Pineau, Y Dauphin
arXiv preprint arXiv:1903.05168, 2019
572019
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
532019
Pommerman: A multi-agent playground
C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ...
NeurIPS 2018 Competition track, 2018
512018
Hotword detection on multiple devices
JN Foerster, AH Gruenstein
US Patent 9,424,841, 2016
512016
Input switched affine networks: An rnn architecture designed for interpretability
JN Foerster, J Gilmer, J Sohl-Dickstein, J Chorowski, D Sussillo
International Conference on Machine Learning, 1136-1145, 2017
38*2017
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
J Foerster, G Farquhar, M Al-Shedivat, T Rocktäschel, EP Xing, ...
Proceedings of the 35th International Conference on Machine Learning, 2018
372018
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20