Kevin J. Miller

According to our database, Kevin J. Miller authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding dual process cognition via the minimum description length principle.

Ted Moskovitz, Kevin J. Miller, Maneesh Sahani, Matthew M. Botvinick

PLoS Comput. Biol., 2024

2023

Cognitive Model Discovery via Disentangled RNNs.

Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making.

Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2020

Deep Reinforcement Learning and its Neuroscientific Implications.

Matthew M. Botvinick, Jane X. Wang, Will Dabney, Kevin J. Miller, Zeb Kurth-Nelson

CoRR, 2020

2019

Meta-learning of Sequential Strategies.

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

CoRR, 2019