Theo dõi
Edward Lockhart
Edward Lockhart
DeepMind
Email được xác minh tại deepmind.com
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Mastering atari, go, chess and shogi by planning with a learned model
J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ...
Nature 588 (7839), 604-609, 2020
27862020
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
11822021
Efficient neural audio synthesis
N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ...
International Conference on Machine Learning, 2410-2419, 2018
10732018
Parallel wavenet: Fast high-fidelity speech synthesis
A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ...
International conference on machine learning, 3918-3926, 2018
10492018
Deep reinforcement learning with relational inductive biases
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
544*2018
OpenSpiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
3312019
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
2682022
Computing approximate equilibria in sequential adversarial games by exploitability descent
E Lockhart, M Lanctot, J Pérolat, JB Lespiau, D Morrill, F Timbers, K Tuyls
arXiv preprint arXiv:1903.05614, 2019
882019
Approximate exploitability: Learning a best response in large games
F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ...
arXiv preprint arXiv:2004.09677, 2020
522020
Consistent jumpy predictions for videos and scenes
A Kumar, SMA Eslami, D Rezende, M Garnelo, F Viola, E Lockhart, ...
50*2018
Scaling Language Models: Methods
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
Analysis & Insights from Training Gopher, 2021
332021
Solving common-payoff games with approximate policy iteration
S Sokota, E Lockhart, F Timbers, E Davoodi, R D'Orazio, N Burch, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9695-9703, 2021
182021
Fast computation of Nash equilibria in imperfect information games
R Munos, J Perolat, JB Lespiau, M Rowland, B De Vylder, M Lanctot, ...
International Conference on Machine Learning, 7119-7129, 2020
122020
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. 2021
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 0
11
Human-agent cooperation in bridge bidding
E Lockhart, N Burch, N Bard, S Borgeaud, T Eccles, L Smaira, R Smith
arXiv preprint arXiv:2011.14124, 2020
72020
35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018
LM Nguyen, K Scheinberg, M Takáč, PH Nguyen, M Van Dijk, P Richtárik, ...
2018
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