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2020 – today
- 2023
[j2]Kory W. Mathewson
, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski:
Communicative capital: a key resource for human-machine shared agency and collaborative capacity. Neural Comput. Appl. 35(23): 16805-16819 (2023)- 2022
- [j1]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:
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602(7896): 223-228 (2022) - [c6]James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone:
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. NeurIPS 2022 - [i7]James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone:
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents. CoRR abs/2206.13901 (2022) - 2020
- [c5]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI 2020: 5717-5725 - [i6]Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Work in Progress: Temporally Extended Auxiliary Tasks. CoRR abs/2004.00600 (2020)
2010 – 2019
- 2019
- [i5]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR abs/1911.07794 (2019) - 2018
- [c4]Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski:
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. IROS 2018: 2997-3003 - [c3]Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton:
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. UAI 2018: 63-72 - [i4]Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton:
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. CoRR abs/1801.08287 (2018) - [i3]Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski:
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. CoRR abs/1803.09001 (2018) - 2017
- [i2]Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards:
Communicative Capital for Prosthetic Agents. CoRR abs/1711.03676 (2017) - 2016
- [c2]Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski:
Introspective Agents: Confidence Measures for General Value Functions. AGI 2016: 258-261 - [c1]Patrick M. Pilarski, Craig Sherstan:
Steps toward knowledgeable neuroprostheses. BioRob 2016: 220 - [i1]Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski:
Introspective Agents: Confidence Measures for General Value Functions. CoRR abs/1606.05593 (2016)
Coauthor Index
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