Craig Sherstan
Craig Sherstan
Research Scientist, Sony AI
Verified email at - Homepage
Cited by
Cited by
Terahertz conductivity of thin gold films at the metal-insulator percolation transition
M Walther, DG Cooke, C Sherstan, M Hajar, MR Freeman, FA Hegmann
Physical Review B 76 (12), 125408, 2007
Application of real-time machine learning to myoelectric prosthesis control: A case series in adaptive switching
AL Edwards, MR Dawson, JS Hebert, C Sherstan, RS Sutton, KM Chan, ...
Prosthetics and orthotics international 40 (5), 573-581, 2016
Development of the Bento Arm: An improved robotic arm for myoelectric training and research
MR Dawson, C Sherstan, JP Carey, JS Hebert, PM Pilarski
Proc. of MEC 14, 60-64, 2014
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods
C Sherstan, B Bennett, K Young, DR Ashley, A White, M White, RS Sutton
arXiv preprint arXiv:1801.08287, 2018
A collaborative approach to the simultaneous multi-joint control of a prosthetic arm
C Sherstan, J Modayil, PM Pilarski
2015 IEEE International Conference on Rehabilitation Robotics (ICORR), 13-18, 2015
Gamma-nets: Generalizing value estimation over timescale
C Sherstan, S Dohare, J MacGlashan, J GŁnther, PM Pilarski
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5717-5725, 2020
Introspective agents: Confidence measures for general value functions
C Sherstan, A White, MC Machado, PM Pilarski
Artificial General Intelligence (AGI), 2016
Towards Prosthetic Arms as Wearable Intelligent Robots
C Sherstan
University of Alberta, 2015
Accelerating learning in constructive predictive frameworks with the successor representation
C Sherstan, MC Machado, PM Pilarski
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems†…, 2018
Predictions, surprise, and predictions of surprise in general value function architectures
J GŁnther, A Kearney, MR Dawson, C Sherstan, PM Pilarski
AAAI 2018 Fall Symposium on Reasoning and Learning in Real-World Systems for†…, 2018
Communicative capital for prosthetic agents
PM Pilarski, RS Sutton, KW Mathewson, C Sherstan, ASR Parker, ...
arXiv preprint arXiv:1711.03676, 2017
Representation and General Value Functions
C Sherstan
Steps toward knowledgeable neuroprostheses
PM Pilarski, C Sherstan
2016 6th IEEE International Conference on Biomedical Robotics and†…, 2016
Multilayer General Value Functions for Robotic Prediction and Control
C Sherstan, PM Pilarski
IROS 2014 Workshop on AI and Robotics, IEEE/RSJ International Conference on†…, 2014
Work in Progress: Temporally Extended Auxiliary Tasks
C Sherstan, B Kartal, P Hernandez-Leal, ME Taylor
arXiv preprint arXiv:2004.00600, 2020
Training Champion-level Race Car Drivers Using Deep Reinforcement Learning
P Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ...
Terahertz-Conductivity of Nano-Structured Gold Films
M Walther, A Thoman, C Sherstan, DG Cooke, FA Hegmann
Optical Terahertz Science and Technology, WA4, 2007
Surface physics, nanoscale physics, low-dimensional systems-Terahertz conductivity of thin gold films at the metal-insulator percolation transition
M Walther, DG Cooke, C Sherstan, M Hajar, MR Freeman, FA Hegmann
Physical Review-Section B-Condensed Matter 76 (12), 125408-125408, 2007
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation Download PDF
C Sherstan, MC Machado, PM Pilarski
Evaluating Predictive Knowledge
A Kearney, A Koop, C Sherstan, J Gunther, RS Sutton, PM Pilarski, ...
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