Compositional clustering in task structure learning
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DOI: 10.1371/journal.pcbi.1006116
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References listed on IDEAS
- I. Momennejad & E. M. Russek & J. H. Cheong & M. M. Botvinick & N. D. Daw & S. J. Gershman, 2017. "The successor representation in human reinforcement learning," Nature Human Behaviour, Nature, vol. 1(9), pages 680-692, September.
- M Berk Mirza & Rick A Adams & Christoph Mathys & Karl J Friston, 2018. "Human visual exploration reduces uncertainty about the sensed world," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-20, January.
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Cited by:
- Lucas Lehnert & Michael L Littman & Michael J Frank, 2020. "Reward-predictive representations generalize across tasks in reinforcement learning," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-27, October.
- Nicholas Menghi & Kemal Kacar & Will Penny, 2021. "Multitask learning over shared subspaces," PLOS Computational Biology, Public Library of Science, vol. 17(7), pages 1-25, July.
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