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2020 – today
- 2024
[j1]Ted Moskovitz
, Kevin J. Miller, Maneesh Sahani, Matthew M. Botvinick:
Understanding dual process cognition via the minimum description length principle. PLoS Comput. Biol. 20(10): 1012383 (2024)- 2023
- [c2]Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller:
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. CogSci 2023 - [c1]Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson:
Cognitive Model Discovery via Disentangled RNNs. NeurIPS 2023 - 2020
- [i2]Matthew M. Botvinick, Jane X. Wang, Will Dabney, Kevin J. Miller, Zeb Kurth-Nelson:
Deep Reinforcement Learning and its Neuroscientific Implications. CoRR abs/2007.03750 (2020)
2010 – 2019
- 2019
- [i1]Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg:
Meta-learning of Sequential Strategies. CoRR abs/1905.03030 (2019)
Coauthor Index
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