متابعة
Shimon Whiteson
Shimon Whiteson
Professor of Computer Science, University of Oxford / Senior Staff Research Scientist, Waymo
بريد إلكتروني تم التحقق منه على cs.ox.ac.uk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Monotonic value function factorisation for deep multi-agent reinforcement learning‏
T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson‏
Journal of Machine Learning Research 21 (178), 1-51, 2020‏
29022020
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
25322018
Learning to communicate with deep multi-agent reinforcement learning‏
J Foerster, IA Assael, N De Freitas, S Whiteson‏
Advances in neural information processing systems 29, 2016‏
22392016
The starcraft multi-agent challenge‏
M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ...‏
arXiv preprint arXiv:1902.04043, 2019‏
12302019
A survey of multi-objective sequential decision-making‏
DM Roijers, P Vamplew, S Whiteson, R Dazeley‏
Journal of Artificial Intelligence Research 48, 67-113, 2014‏
8252014
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
7992017
Learning with opponent-learning awareness‏
JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch‏
arXiv preprint arXiv:1709.04326, 2017‏
6722017
Lipnet: End-to-end sentence-level lipreading‏
YM Assael, B Shillingford, S Whiteson, N De Freitas‏
arXiv preprint arXiv:1611.01599, 2016‏
5102016
Fast context adaptation via meta-learning‏
L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson‏
International conference on machine learning, 7693-7702, 2019‏
4632019
Maven: Multi-agent variational exploration‏
A Mahajan, T Rashid, M Samvelyan, S Whiteson‏
Advances in neural information processing systems 32, 2019‏
4572019
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, 10199-10210, 2020‏
4162020
Is independent learning all you need in the starcraft multi-agent challenge?‏
CS De Witt, T Gupta, D Makoviichuk, V Makoviychuk, PHS Torr, M Sun, ...‏
arXiv preprint arXiv:2011.09533, 2020‏
3992020
Evolutionary Function Approximation for Reinforcement Learning‏
S Whiteson, P Stone‏
Journal of Machine Learning Research 7, 877-917, 2006‏
3652006
Deep variational reinforcement learning for POMDPs‏
M Igl, L Zintgraf, TA Le, F Wood, S Whiteson‏
International conference on machine learning, 2117-2126, 2018‏
3402018
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
3332019
Multiagent reinforcement learning for urban traffic control using coordination graphs‏
L Kuyer, S Whiteson, B Bakker, N Vlassis‏
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008‏
3172008
Varibad: A very good method for bayes-adaptive deep rl via meta-learning‏
L Zintgraf, K Shiarlis, M Igl, S Schulze, Y Gal, K Hofmann, S Whiteson‏
arXiv preprint arXiv:1910.08348, 2019‏
3142019
A theoretical and empirical analysis of expected sarsa‏
H Van Seijen, H Van Hasselt, S Whiteson, M Wiering‏
2009 ieee symposium on adaptive dynamic programming and reinforcement …, 2009‏
3052009
Facmac: Factored multi-agent centralised policy gradients‏
B Peng, T Rashid, C Schroeder de Witt, PA Kamienny, P Torr, W Böhmer, ...‏
Advances in Neural Information Processing Systems 34, 12208-12221, 2021‏
2792021
Rode: Learning roles to decompose multi-agent tasks‏
T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang‏
arXiv preprint arXiv:2010.01523, 2020‏
2452020
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20