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
1232018
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
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
Relative variational intrinsic control
K Baumli, D Warde-Farley, S Hansen, V Mnih
arXiv preprint arXiv:2012.07827, 2020
32020
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
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
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
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