Browse by UCL people
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Number of items: 5.
Article
Momennejad, I;
Russek, EM;
Cheong, JH;
Botvinick, MM;
Daw, ND;
Gershman, SJ;
(2017)
The successor representation in human reinforcement learning.
Nature Human Behaviour
, 1
(9)
pp. 680-692.
10.1038/s41562-017-0180-8.
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Russek, EM;
Momennejad, I;
Botvinick, MM;
Gershman, SJ;
Daw, ND;
(2017)
Predictive representations can link model-based reinforcement learning to model-free mechanisms.
PLoS Computer Biology
, 13
(9)
, Article e1005768. 10.1371/journal.pcbi.1005768.
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Wager, TD;
Atlas, LY;
Botvinick, MM;
Chang, LJ;
Coghill, RC;
Davis, KD;
Iannetti, GD;
... Yarkoni, T; + view all
(2016)
Pain in the ACC?
Proceedings of The National Academy of Sciences of The United States of America (PNAS)
, 113
(18)
E2474-E2475.
10.1073/pnas.1600282113.
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Proceedings paper
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Higgins, I;
Sonnerat, N;
Matthey, L;
Pal, A;
Burgess, CP;
Bošnjak, M;
Shanahan, M;
... Lerchner, A; + view all
(2018)
SCAN: Learning Hierarchical Compositional Visual Concepts.
In: Bengio, Y and LeCun, Y, (eds.)
Proceedings of the Sixth International Conference on Learning Representations (ICLR 2018).
International Conference on Learning Representations (ICLR): Vancouver, Canada.
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Tacchetti, A;
Francis Song, H;
Mediano, PAM;
Zambaldi, V;
Kramár, J;
Rabinowitz, NC;
Graepel, T;
... Battaglia, PW; + view all
(2019)
Relational forward models for multi-agent learning.
In:
Proceedings of the 7th International Conference on Learning Representations, ICLR 2019.
ICLR
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