David P. Reichert
David P. Reichert
Google DeepMind
Verified email at google.com
TitleCited byYear
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
622017
The predictron: End-to-end learning and planning
D Silver, H van Hasselt, M Hessel, T Schaul, A Guez, T Harley, ...
arXiv preprint arXiv:1612.08810, 2016
542016
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
542010
Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?
DP Reichert, P Seriès, AJ Storkey
PLOS Computational Biology 9 (7), e1003134, 2013
302013
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
292018
Neuronal Synchrony in Complex-Valued Deep Networks
DP Reichert, T Serre
arXiv preprint arXiv:1312.6115, 2013
282013
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
182017
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, 5694-5705, 2017
162017
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
122011
Relational Deep Reinforcement Learning
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
arXiv preprint arXiv:1806.01830, 2018
72018
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
72018
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
Deep Boltzmann Machines as Hierarchical Generative Models of Perceptual Inference in the Cortex
DP Reichert
PhD thesis, University of Edinburgh, Edinburgh, UK, 2012
42012
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
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning
L Buesing, T Weber, S Racaniere, SMA Eslami, D Rezende, D Reichert, ...
2018
Unifying low-level mechanistic and high-level Bayesian explanations of bistable perceptions: neuronal adaptation for cortical inference
DP Reichert, P Series, AJ Storkey
BMC Neuroscience 12 (1), 1, 2011
2011
Homeostasis causes hallucinations in a hierarchical generative model of the visual cortex: the Charles Bonnet Syndrome
DP Reichert, P Series, AJ Storkey
BMC Neuroscience 12 (1), 1, 2011
2011
Constraints on Bayesian Explanation
J Kwisthout, I van Rooij, M Colombo, C Zednik, DP Reichert
Proceedings of the 35th Annual Meeting of the Cognitive Science Society …, 0
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Articles 1–18