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By Dubey, R.
P
DMRL
Dubey, R., Hardy, M., Griffiths, T., & Bhui, R. (in press). AI-generated visuals of car-free American cities help increase support for sustainable transport policies. Nature Sustainability. (preprint)
RPM
DMRL
Sukhov, N., Dubey, R., Duke, A., & Griffiths, T. (2023). When to keep trying and when to let go: Benchmarking optimal quitting. (preprint)
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DMRL
Dubey, R., Griffiths, T. L., & Dayan, P. (2022). The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Computational Biology, 18(8), e1010316. (pdf)
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PR
Dubey, R., Griffiths, T. L., & Lombrozo, T. (2022). If it’s important, then I’m curious: Increasing perceived usefulness stimulates curiosity. Cognition, 226, 105193. (pdf)
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E
DMRL
Dubey, R., Ho, M. K., Mehta, H., & Griffiths, T. L. (2021). Aha! Moments correspond to meta-cognitive prediction errors. (preprint)
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DMRL
Dubey, R., & Griffiths, T. L. (2020). Reconciling novelty and complexity through a rational analysis of curiosity. Psychological Review, 127(3), 455-476. (pdf)
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PR
Dubey, R., & Griffths, T.L. (2020). Understanding exploration in humans and machines by formalizing the function of curiosity. Current Opinion in Behavioral Sciences, 35, 118-124. (pdf)
DMRL
Dubey, R., Grant, E., Luo, M., Narasimhan, K. R., & Griffiths, T. L. (2020). Connecting context-specific adaptation in humans to meta-learning. (preprint)
E
Dubey, R., Griffiths, T. L., & Lombrozo, T. (2019). If it’s important, then I am curious: A value intervention to induce curiosity. Proceedings of the 41st Annual Conference of the Cognitive Science Society. (pdf)
DMRL
Dubey, R., Agrawal, P., Pathak, D., Griffiths, T. L., & Efros, A. A. (2018). Investigating human priors for playing video games. In Proceedings of the 35th International Conference on Machine Learning (ICML 2018). (pdf) (project website)
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PR
Dubey, R., & Griffiths, T. L. (2017). A rational analysis of curiosity. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)

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