Nantas Nardelli
Title
Cited by
Cited by
Year
Counterfactual multi-agent policy gradients
JN Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson
Thirty-second AAAI conference on artificial intelligence, 2018
3282018
Stabilising experience replay for deep multi-agent reinforcement learning
J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2102017
Torchcraft: a library for machine learning research on real-time strategy games
G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ...
arXiv preprint arXiv:1611.00625, 2016
922016
Playing doom with slam-augmented deep reinforcement learning
S Bhatti, A Desmaison, O Miksik, N Nardelli, N Siddharth, PHS Torr
arXiv preprint arXiv:1612.00380, 2016
432016
The starcraft multi-agent challenge
M Samvelyan, T Rashid, C Schroeder de Witt, G Farquhar, N Nardelli, ...
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
262019
Counterfactual reasoning about intent for interactive navigation in dynamic environments
A Bordallo, F Previtali, N Nardelli, S Ramamoorthy
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
152015
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
102019
Value propagation networks
N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier
arXiv preprint arXiv:1805.11199, 2018
52018
Torchbeast: A pytorch platform for distributed rl
H Küttler, N Nardelli, T Lavril, M Selvatici, V Sivakumar, T Rocktäschel, ...
arXiv preprint arXiv:1910.03552, 2019
32019
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
V Sivakumar, T Rocktäschel, AH Miller, H Küttler, N Nardelli, M Rabbat, ...
arXiv preprint arXiv:1910.04054, 2019
12019
Multitask Soft Option Learning
M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ...
arXiv preprint arXiv:1904.01033, 2019
12019
Lessons from reinforcement learning for biological representations of space
A Muryy, N Siddharth, N Nardelli, A Glennerster, PHS Torr
arXiv preprint arXiv:1912.06615, 2019
2019
Team Edinferno Description Paper for RoboCup 2013 SPL
A Valtazanos, E Vafeias, AB Mico, D Mankowitz, N Nardelli, ...
Team Edinferno Description Paper for RoboCup 2014 SPL
AB Micó, N Nardelli, S Penkov, E Vafeias, G Schropp, S Manilov, ...
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Articles 1–14