David P. Reichert
David P. Reichert
Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
2422018
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, DJ Rezende, ...
Advances in neural information processing systems, 5690-5701, 2017
1752017
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, DJ Rezende, ...
Advances in neural information processing systems, 5690-5701, 2017
1752017
Imagination-augmented agents for deep reinforcement learning
T Weber, S Racanière, DP Reichert, L Buesing, A Guez, DJ Rezende, ...
arXiv preprint arXiv:1707.06203, 2017
1682017
The predictron: End-to-end learning and planning
D Silver, H van Hasselt, M Hessel, T Schaul, A Guez, T Harley, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1642017
Relational Deep Reinforcement Learning
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
arXiv preprint arXiv:1806.01830, 2018
1072018
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
742017
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
572010
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, 2018
562018
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
542018
Neuronal Synchrony in Complex-Valued Deep Networks
DP Reichert, T Serre
arXiv preprint arXiv:1312.6115, 2013
542013
Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?
DP Reichert, P Seriès, AJ Storkey
PLOS Computational Biology 9 (7), e1003134, 2013
472013
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
152011
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
72011
Automated curricula through setter-solver interactions
S Racaniere, AK Lampinen, A Santoro, DP Reichert, V Firoiu, TP Lillicrap
arXiv preprint arXiv:1909.12892, 2019
62019
Deep Boltzmann Machines as Hierarchical Generative Models of Perceptual Inference in the Cortex
DP Reichert
PhD thesis, University of Edinburgh, Edinburgh, UK, 2012
52012
Automated curriculum generation through setter-solver interactions
S Racaniere, A Lampinen, A Santoro, D Reichert, V Firoiu, T Lillicrap
International Conference on Learning Representations, 2019
22019
Selectivity for non-accidental properties emerges from learning object transformation sequences
S Parker, D Reichert, T Serre
Journal of Vision 14 (10), 910-910, 2014
12014
Imagination-based agent neural networks
DP Wierstra, Y Li, R Pascanu, PW Battaglia, TG Weber, L Buesing, ...
US Patent App. 16/689,058, 2020
2020
Imagination-based agent neural networks
DP Wierstra, Y Li, R Pascanu, PW Battaglia, TG Weber, L Buesing, ...
US Patent App. 16/689,017, 2020
2020
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