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Gabriel Barth-Maron
Gabriel Barth-Maron
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Distributed prioritized experience replay
D Horgan, J Quan, D Budden, G Barth-Maron, M Hessel, H Van Hasselt, ...
arXiv preprint arXiv:1803.00933, 2018
6002018
Distributed distributional deterministic policy gradients
G Barth-Maron, MW Hoffman, D Budden, W Dabney, D Horgan, D Tb, ...
arXiv preprint arXiv:1804.08617, 2018
4262018
Data-efficient deep reinforcement learning for dexterous manipulation
I Popov, N Heess, T Lillicrap, R Hafner, G Barth-Maron, M Vecerik, ...
arXiv preprint arXiv:1704.03073, 2017
2442017
Acme: A research framework for distributed reinforcement learning
M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ...
arXiv preprint arXiv:2006.00979, 2020
1282020
Observe and look further: Achieving consistent performance on atari
T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ...
arXiv preprint arXiv:1805.11593, 2018
1052018
A generalist agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
972022
Goal-based action priors
D Abel, D Hershkowitz, G Barth-Maron, S Brawner, K O'Farrell, ...
Proceedings of the International Conference on Automated Planning and …, 2015
492015
Making efficient use of demonstrations to solve hard exploration problems
TL Paine, C Gulcehre, B Shahriari, M Denil, M Hoffman, H Soyer, ...
arXiv preprint arXiv:1909.01387, 2019
232019
Making efficient use of demonstrations to solve hard exploration problems
C Gulcehre, T Le Paine, B Shahriari, M Denil, M Hoffman, H Soyer, ...
International conference on learning representations, 2019
202019
One-shot high-fidelity imitation: Training large-scale deep nets with rl
TL Paine, SG Colmenarejo, Z Wang, S Reed, Y Aytar, T Pfaff, ...
arXiv preprint arXiv:1810.05017, 2018
192018
Reverb: a framework for experience replay
A Cassirer, G Barth-Maron, E Brevdo, S Ramos, T Boyd, T Sottiaux, ...
arXiv preprint arXiv:2102.04736, 2021
142021
Toward affordance-aware planning
D Abel, G Barth-Maron, J MacGlashan, S Tellex
First Workshop on Affordances: Affordances in Vision for Cognitive Robotics, 2014
122014
Making efficient use of demonstrations to solve hard exploration problems
T Le Paine, C Gulcehre, B Shahriari, M Denil, M Hoffman, H Soyer, ...
arXiv e-prints, arXiv: 1909.01387, 2019
112019
Launchpad: a programming model for distributed machine learning research
F Yang, G Barth-Maron, P Stańczyk, M Hoffman, S Liu, M Kroiss, A Pope, ...
arXiv preprint arXiv:2106.04516, 2021
92021
Diego de Las Casas, Andreas Fidjeland, Tim Green, Adrià Puigdomènech, Sébastien Racanière, Jack Rae, and Fabio Viola. Open sourcing Sonnet-a new library for constructing neural …
M Reynolds, G Barth-Maron, F Besse
82017
Affordances as transferable knowledge for planning agents
G Barth-Maron, D Abel, J MacGlashan, S Tellex
2014 AAAI Fall Symposium Series, 2014
72014
Data-efficient reinforcement learning for continuous control tasks
M Riedmiller, R Hafner, M Vecerik, TP Lillicrap, T Lampe, I Popov, ...
US Patent 10,664,725, 2020
52020
Learning deep state representations with convolutional autoencoders
G Barth-Maron
PhD thesis, Master’s thesis, Brown University, 2015
42015
Reinforcement learning using distributed prioritized replay
D Budden, G Barth-Maron, J Quan, DG Horgan
US Patent App. 16/641,751, 2020
32020
Quantized reinforcement learning (quarl)
M Lam, S Chitlangia, S Krishnan, Z Wan, G Barth-Maron, A Faust, ...
arXiv preprint arXiv:1910.01055, 2019
32019
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