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Steven Hansen
Steven Hansen
Senior Research Scientist, DeepMind
Bestätigte E-Mail-Adresse bei google.com
Titel
Zitiert von
Zitiert von
Jahr
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
1482018
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
1152018
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
722019
Generalization of reinforcement learners with working and episodic memory
M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomènech Badia, ...
Advances in neural information processing systems 32, 2019
332019
Fast deep reinforcement learning using online adjustments from the past
S Hansen, A Pritzel, P Sprechmann, A Barreto, C Blundell
Advances in Neural Information Processing Systems 31, 2018
332018
Relative variational intrinsic control
K Baumli, D Warde-Farley, S Hansen, V Mnih
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6732-6740, 2021
122021
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
122018
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
92016
Building on prior knowledge without building it in
SS Hansen, A Lampinen, G Suri, JL McClelland
Behavioral and Brain Sciences 40, e268, 2017
82017
Coverage as a principle for discovering transferable behavior in reinforcement learning
V Campos, P Sprechmann, SS Hansen, A Barreto, C Blundell, A Vitvitskyi, ...
52020
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
52018
Beyond fine-tuning: Transferring behavior in reinforcement learning
V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ...
arXiv preprint arXiv:2102.13515, 2021
42021
Learning more skills through optimistic exploration
DJ Strouse, K Baumli, D Warde-Farley, V Mnih, S Hansen
arXiv preprint arXiv:2107.14226, 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
Deep episodic value iteration for model-based meta-reinforcement learning
SS Hansen
arXiv preprint arXiv:1705.03562, 2017
22017
Entropic Desired Dynamics for Intrinsic Control
S Hansen, G Desjardins, K Baumli, D Warde-Farley, N Heess, S Osindero, ...
Advances in Neural Information Processing Systems 34, 11436-11448, 2021
12021
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
Uniqueness and Complexity of Inverse MDP Models
M Hutter, S Hansen
arXiv preprint arXiv:2206.01192, 2022
2022
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