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David P. Reichert
David P. Reichert
Google DeepMind
Adresse e-mail validée de google.com
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Année
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
7082018
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
690*2017
The predictron: End-to-end learning and planning
D Silver, H Hasselt, M Hessel, T Schaul, A Guez, T Harley, ...
International Conference on Machine Learning, 3191-3199, 2017
3032017
Relational Deep Reinforcement Learning
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
arXiv preprint arXiv:1806.01830, 2018
2742018
Deep reinforcement learning with relational inductive biases
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
International conference on learning representations, 2019
2222019
Learning and Querying Fast Generative Models for Reinforcement Learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
1382018
Learning model-based planning from scratch
R Pascanu, Y Li, O Vinyals, N Heess, L Buesing, S Racanière, D Reichert, ...
arXiv preprint arXiv:1707.06170, 2017
1192017
Neuronal Synchrony in Complex-Valued Deep Networks
DP Reichert, T Serre
arXiv preprint arXiv:1312.6115, 2013
1162013
Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?
DP Reichert, P Seriès, AJ Storkey
PLOS Computational Biology 9 (7), e1003134, 2013
772013
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
DP Reichert, P Series, AJ Storkey
Advances in Neural Information Processing Systems 23 (23), 2020-2028, 2010
602010
Automated curricula through setter-solver interactions
S Racaniere, AK Lampinen, A Santoro, DP Reichert, V Firoiu, TP Lillicrap
arXiv preprint arXiv:1909.12892, 2019
582019
Automated curriculum generation through setter-solver interactions
S Racaniere, A Lampinen, A Santoro, D Reichert, V Firoiu, T Lillicrap
International conference on learning representations, 2020
412020
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
JX Wang, M King, N Porcel, Z Kurth-Nelson, T Zhu, C Deck, P Choy, ...
arXiv preprint arXiv:2102.02926, 2021
332021
Alchemy: A structured task distribution for meta-reinforcement learning
JX Wang, M King, N Porcel, Z Kurth-Nelson, T Zhu, C Deck, P Choy, ...
arXiv preprint arXiv:2102.02926 266, 269-272, 2021
252021
A hierarchical generative model of recurrent object-based attention in the visual cortex
DP Reichert, P Series, AJ Storkey
International Conference on Artificial Neural Networks, 18-25, 2011
222011
Neuronal adaptation for sampling-based probabilistic inference in perceptual bistability
DP Reichert, P Seriès, AJ Storkey
Advances in Neural Information Processing Systems, 2357-2365, 2011
92011
Deep Boltzmann Machines as Hierarchical Generative Models of Perceptual Inference in the Cortex
DP Reichert
PhD thesis, University of Edinburgh, Edinburgh, UK, 2012
52012
Scaling instructable agents across many simulated worlds
M Abi Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ...
arXiv e-prints, arXiv: 2404.10179, 2024
32024
Imagination-based agent neural networks
DP Wierstra, Y Li, R Pascanu, PW Battaglia, TG Weber, L Buesing, ...
US Patent 10,776,670, 2020
32020
Scaling Instructable Agents Across Many Simulated Worlds
MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ...
arXiv preprint arXiv:2404.10179, 2024
22024
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