Παρακολούθηση
Patrick M. Pilarski
Patrick M. Pilarski
Professor, University of Alberta, Amii (Alberta Machine Intelligence Institute)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ualberta.ca - Αρχική σελίδα
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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
6122011
Model-Free Reinforcement Learning with Continuous Action in Practice
T Degris, PM Pilarski, RS Sutton
2012 American Control Conference (ACC), 2177–2182, 2012
3422012
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
2232014
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
2042011
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
Mechatronics 34, 1-11, 2016
1942016
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
1202006
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
Procedia Technology 15, 474-483, 2014
1182014
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
1172016
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
1142014
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
872016
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
872013
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
2012 IEEE international conference on acoustics, speech and signal …, 2012
872012
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
842007
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
652018
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
632012
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
602014
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
542013
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
522019
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
522018
Learning from Demonstration: Teaching a Myoelectric Prosthesis with an Intact Limb via Reinforcement Learning
G Vasan, PM Pilarski
Proc. IEEE Int. Conf. on Rehab. Robotics (ICORR), 2017
472017
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