Gregory Farquhar
Gregory Farquhar
DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
Counterfactual multi-agent policy gradients
J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
5572018
Stabilising experience replay for deep multi-agent reinforcement learning
J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ...
International conference on machine learning, 1146-1155, 2017
3022017
Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning
T Rashid, M Samvelyan, C Schroeder, G Farquhar, J Foerster, S Whiteson
International Conference on Machine Learning, 4295-4304, 2018
2772018
The starcraft multi-agent challenge
M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ...
arXiv preprint arXiv:1902.04043, 2019
842019
Treeqn and atreec: Differentiable tree-structured models for deep reinforcement learning
G Farquhar, T Rocktäschel, M Igl, S Whiteson
arXiv preprint arXiv:1710.11417, 2017
742017
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
462019
Dice: The infinitely differentiable monte carlo estimator
J Foerster, G Farquhar, M Al-Shedivat, T Rocktäschel, E Xing, S Whiteson
International Conference on Machine Learning, 1529-1538, 2018
352018
Multi-agent common knowledge reinforcement learning
CAS de Witt, JN Foerster, G Farquhar, PHS Torr, W Boehmer, S Whiteson
arXiv preprint arXiv:1810.11702, 2018
302018
Convergence rates of distributed td (0) with linear function approximation for multi-agent reinforcement learning
TT Doan, ST Maguluri, J Romberg
arXiv preprint arXiv:1902.07393, 2019
92019
Counterfactual multi-agent policy gradients. CoRR abs/1705.08926 (2017)
JN Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
arXiv preprint arXiv:1705.08926, 2017
82017
A baseline for any order gradient estimation in stochastic computation graphs
J Mao, J Foerster, T Rocktäschel, M Al-Shedivat, G Farquhar, S Whiteson
International Conference on Machine Learning, 4343-4351, 2019
52019
Growing action spaces
G Farquhar, L Gustafson, Z Lin, S Whiteson, N Usunier, G Synnaeve
International Conference on Machine Learning, 3040-3051, 2020
32020
Weighted QMIX: Expanding Monotonic Value Function Factorisation
T Rashid, G Farquhar, B Peng, S Whiteson
arXiv preprint arXiv:2006.10800, 2020
22020
The impact of non-stationarity on generalisation in deep reinforcement learning
M Igl, G Farquhar, J Luketina, W Boehmer, S Whiteson
arXiv preprint arXiv:2006.05826, 2020
22020
Loaded dice: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning
G Farquhar, S Whiteson, J Foerster
22019
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
T Rashid, G Farquhar, B Peng, S Whiteson
Advances in Neural Information Processing Systems 33, 2020
2020
35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018
T Rashid, CS De Witt, G Farquhar, J Foerster, S Whiteson, M Samvelyan, ...
2018
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