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P Perception
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RPM Rational Process Models
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SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

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By Narasimhan, K.
DMRL
Dubey, R., Grant, E., Luo, M., Narasimhan, K. R., & Griffiths, T. L. (preprint). Connecting context-specific adaptation in humans to meta-learning. (link)
SML
DMRL
Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R.D., Daw, N. D., Cohen, J. D., Narasimhan, K. R., & Griffiths, T. L. (preprint). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. (link)
SML
DMRL
Kumar, S., Dasgupta, I., Hu, M., Marjieh, R., Hawkins, R. D., Daw, N., Cohen, J., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language to Guide Meta-Learning Agents towards Human-like Inductive Biases. BACL 1st Workshop on Learning with Natural Language Supervision. (pdf)
SML
DMRL
Sumers, T. R., Ho, M. K., Hawkins, R.D., Narasimhan, K. R., & Griffiths, T. L. (2021). Learning rewards from linguistic feedback. Proceedings of the 35th AAAI Conference on Artificial Intelligence. (pdf)

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