Introspective Agents: Confidence Measures for General Value Functions. - Craig Sherstan; Adam White 001; Marlos C. Machado; Patrick M. Pilarski (AGI, 2016)

Steps toward knowledgeable neuroprostheses. - Patrick M. Pilarski; Craig Sherstan (BioRob, 2016)

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)

Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. - Craig Sherstan; Marlos C. Machado; Patrick M. Pilarski (IROS, 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 001; Martha White; Richard S. Sutton (UAI, 2018)

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. - Craig Sherstan; Brendan Bennett; Kenny Young; Dylan R. Ashley; Adam White 001; Martha White; Richard S. Sutton (CoRR, 2018)

Gamma-Nets: Generalizing Value Estimation over Timescale. - Craig Sherstan; Shibhansh Dohare; James MacGlashan; Johannes Günther 002; Patrick M. Pilarski (AAAI, 2020)

Work in Progress: Temporally Extended Auxiliary Tasks. - Craig Sherstan; Bilal Kartal; Pablo Hernandez-Leal; Matthew E. Taylor (CoRR, 2020)

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 001 (NeurIPS, 2022)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

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., 2023)