Craig Sherstan

16 papers A* 2A 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Reward Design for Gran Turismo. CoRR Michel Ma, Takuma Seno, Kaushik Subramanian, Peter R. Wurman, Peter Stone, Craig Sherstan
2023	J	`jnl`	Communicative capital: a key resource for human-machine shared agency and collaborative capacity. Neural Comput. Appl. Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski
2022	J	`jnl`	Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 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 Raj 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
2022	A*	`conf`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone
2020	A*	`conf`	Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2020	J	`jnl`	Work in Progress: Temporally Extended Auxiliary Tasks. CoRR Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2018	A	`conf`	Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. IROS Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
2018	J	`jnl`	Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. CoRR Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
2018	A	`conf`	Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. UAI Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton
2018	J	`jnl`	Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. CoRR Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton
2017	J	`jnl`	Communicative Capital for Prosthetic Agents. CoRR Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards
2016	—	`conf`	Introspective Agents: Confidence Measures for General Value Functions. AGI Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	J	`jnl`	Introspective Agents: Confidence Measures for General Value Functions. CoRR Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	—	`conf`	Steps toward knowledgeable neuroprostheses. BioRob Patrick M. Pilarski, Craig Sherstan