Steven Hansen
Steven Hansen
Senior Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Modelling the N400 brain potential as change in a probabilistic representation of meaning
M Rabovsky, SS Hansen, JL McClelland
Nature Human Behaviour 2 (9), 693-705, 2018
1242018
Unsupervised control through non-parametric discriminative rewards
D Warde-Farley, T Van de Wiele, T Kulkarni, C Ionescu, S Hansen, ...
arXiv preprint arXiv:1811.11359, 2018
742018
Fast task inference with variational intrinsic successor features
S Hansen, W Dabney, A Barreto, T Van de Wiele, D Warde-Farley, V Mnih
arXiv preprint arXiv:1906.05030, 2019
352019
Fast deep reinforcement learning using online adjustments from the past
S Hansen, P Sprechmann, A Pritzel, A Barreto, C Blundell
arXiv preprint arXiv:1810.08163, 2018
252018
Generalization of reinforcement learners with working and episodic memory
M Fortunato, M Tan, R Faulkner, S Hansen, AP Badia, G Buttimore, ...
arXiv preprint arXiv:1910.13406, 2019
202019
Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour, 2 (9), 693–705
M Rabovsky, SS Hansen, JL McClelland
102018
N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.
M Rabovsky, SS Hansen, JL McClelland
CogSci, 2016
102016
A parallel-distributed processing approach to mathematical cognition
JL McClelland, K Mickey, S Hansen, A Yuan, Q Lu
Manuscript, Stanford University, 2016
82016
Building on prior knowledge without building it in
SS Hansen, AK Lampinen, G Suri, JL McClelland
Behavioral and Brain Sciences 40, 2017
72017
Relative variational intrinsic control
K Baumli, D Warde-Farley, S Hansen, V Mnih
arXiv preprint arXiv:2012.07827, 2020
42020
I like coffee with cream and dog? Change in an implicit probabilistic representation captures meaning processing in the brain
M Rabovsky, SS Hansen, JL McClelland
bioRxiv, 138149, 2018
42018
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning
V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ...
arXiv preprint arXiv:2102.13515, 2021
32021
Two plus three is five: discovering efficient addition strategies without metacognition
SS Hansen, CRL McKenzie, JL McClelland
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
32014
Beyond fine-tuning: Transferring behavior in reinforcement learning
V Campos, P Sprechmann, SS Hansen, A Barreto, S Kapturowski, ...
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
12021
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning
SS Hansen
arXiv preprint arXiv:1705.03562, 2017
12017
Neural responses decrease while performance increases with practice: A neural network model.
M Rabovsky, SS Hansen, JL McClelland
CogSci, 2017
12017
Tutorial Workshop on Contemporary Deep Neural Network Models.
JL McClelland, SS Hansen, AM Saxe
CogSci, 2016
12016
Learning more skills through optimistic exploration
DJ Strouse, K Baumli, D Warde-Farley, V Mnih, S Hansen
arXiv preprint arXiv:2107.14226, 2021
2021
Deep Episodic Value Iteration: A Theory of Sample Efficient Learning for Machine Learning and Cognitive (Neuro) Science
SS Hansen
Stanford University, 2018
2018
Minimally Naturalistic Artificial Intelligence
SS Hansen
arXiv preprint arXiv:1701.03868, 2017
2017
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Articles 1–20