Patrick M. Pilarski
Patrick M. Pilarski
Professor, University of Alberta, Amii (Alberta Machine Intelligence Institute)
Verified email at - Homepage
Cited by
Cited by
Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup
10th International Conference on Autonomous Agents and Multiagent Systems†…, 2011
Model-Free Reinforcement Learning with Continuous Action in Practice
T Degris, PM Pilarski, RS Sutton
2012 American Control Conference (ACC), 2177–2182, 2012
Proceedings of the first workshop on peripheral machine interfaces: going beyond traditional surface electromyography
C Castellini, P Artemiadis, M Wininger, A Ajoudani, M Alimusaj, A Bicchi, ...
Frontiers in neurorobotics 8, 22, 2014
Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning
PM Pilarski, MR Dawson, T Degris, F Fahimi, JP Carey, RS Sutton
2011 IEEE international Conference on Rehabilitation Robotics (ICORR), 1-7, 2011
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
J GŁnther, PM Pilarski, G Helfrich, H Shen, K Diepold
Mechatronics 34, 1-11, 2016
Small volume PCR in PDMS biochips with integrated fluid control and vapour barrier
AR Prakash, S Adamia, V Sieben, P Pilarski, LM Pilarski, CJ Backhouse
Sensors and Actuators B: Chemical 113 (1), 398-409, 2006
True online temporal-difference learning
H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton
Journal of Machine Learning Research 17 (145), 1-40, 2016
A genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets
S Adamia, B Haibe-Kains, PM Pilarski, M Bar-Natan, S Pevzner, ...
Clinical cancer research 20 (5), 1135-1145, 2014
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning
J GŁnther, PM Pilarski, G Helfrich, H Shen, K Diepold
Procedia Technology 15, 474-483, 2014
Adaptive Artificial Limbs: A Real-time Approach to Prediction and Anticipation
PM Pilarski, MR Dawson, T Degris, JP Carey, KM Chan, JS Hebert, ...
IEEE Robotics and Automation Magazine 20 (1), 53-64, 2013
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
FISH and chips: chromosomal analysis on microfluidic platforms
VJ Sieben, CSD Marun, PM Pilarski, GV Kaigala, LM Pilarski, ...
IET nanobiotechnology 1 (3), 27-35, 2007
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
2012 IEEE international conference on acoustics, speech and signal†…, 2012
Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots
PM Pilarski, MR Dawson, T Degris, JP Carey, RS Sutton
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and†…, 2012
NOTCH2 and FLT3 gene mis-splicings are common events in patients with acute myeloid leukemia (AML): new potential targets in AML
S Adamia, M Bar-Natan, B Haibe-Kains, PM Pilarski, C Bach, S Pevzner, ...
Blood, The Journal of the American Society of Hematology 123 (18), 2816-2825, 2014
Characterization of normative hand movements during two functional upper limb tasks
AM Valevicius, QA Boser, EB Lavoie, GS Murgatroyd, PM Pilarski, ...
PLoS One 13 (6), e0199549, 2018
Real-time Prediction Learning for the Simultaneous Actuation of Multiple Prosthetic Joints
PM Pilarski, TB Dick, RS Sutton
2013 IEEE International Conference on Rehabilitation Robotics (ICORR), Paper†…, 2013
Learning gentle object manipulation with curiosity-driven deep reinforcement learning
SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ...
arXiv preprint arXiv:1903.08542, 2019
Using synchronized eye and motion tracking to determine high-precision eye-movement patterns during object-interaction tasks
EB Lavoie, AM Valevicius, QA Boser, O Kovic, AH Vette, PM Pilarski, ...
Journal of vision 18 (6), 18-18, 2018
An adaptable microvalving system for on-chip polymerase chain reactions
PM Pilarski, S Adamia, CJ Backhouse
Journal of Immunological Methods 305 (1), 48-58, 2005
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