Craig Sherstan

According to our database, Craig Sherstan authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Communicative capital: a key resource for human-machine shared agency and collaborative capacity.

Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski

Neural Comput. Appl., August, 2023

2022

Outracing champion Gran Turismo drivers with deep reinforcement learning.

Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano

Nat., 2022

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.

James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Work in Progress: Temporally Extended Auxiliary Tasks.

Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

CoRR, 2020

Gamma-Nets: Generalizing Value Estimation over Timescale.

Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods.

Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton

CoRR, 2018

Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return.

Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation.

Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Communicative Capital for Prosthetic Agents.

Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards

CoRR, 2017

2016

Steps toward knowledgeable neuroprostheses.

Patrick M. Pilarski, Craig Sherstan

Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

Introspective Agents: Confidence Measures for General Value Functions.

Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016