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Steven Hansen
Steven Hansen
Senior Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
7372023
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
2482018
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
1762018
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
1552019
In-context reinforcement learning with algorithm distillation
M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ...
arXiv preprint arXiv:2210.14215, 2022
702022
Generalization of reinforcement learners with working and episodic memory
M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomčnech Badia, ...
Advances in neural information processing systems 32, 2019
702019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
532024
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
462021
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
462018
Learning more skills through optimistic exploration
DJ Strouse, K Baumli, D Warde-Farley, V Mnih, S Hansen
arXiv preprint arXiv:2107.14226, 2021
362021
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
Retrieved 2019-12-04, from https://www. nature. com/articles/s41562-018-0406 …, 2018
262018
Beyond fine-tuning: Transferring behavior in reinforcement learning
V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ...
arXiv preprint arXiv:2102.13515, 2021
212021
A parallel-distributed processing approach to mathematical cognition
JL McClelland, K Mickey, S Hansen, A Yuan, Q Lu
Manuscript, Stanford University, 263, 2016
162016
N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.
M Rabovsky, SS Hansen, JL McClelland
CogSci, 2016
122016
Coverage as a principle for discovering transferable behavior in reinforcement learning
V Campos, P Sprechmann, SS Hansen, A Barreto, C Blundell, A Vitvitskyi, ...
92020
Building on prior knowledge without building it in
SS Hansen, A Lampinen, G Suri, JL McClelland
Behav. Brain Sci 40, e268, 2017
92017
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
72021
Expressing non-Markov reward to a Markov agent
D Abel, A Barreto, M Bowling, W Dabney, S Hansen, A Harutyunyan, ...
Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2022
62022
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, 2017
52017
Wasserstein distance maximizing intrinsic control
I Durugkar, S Hansen, S Spencer, V Mnih
arXiv preprint arXiv:2110.15331, 2021
42021
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Articles 1–20