Garrett Warnell
Garrett Warnell
Research Scientist, Army Research Laboratory
Подтвержден адрес электронной почты в домене mail.mil
Название
Процитировано
Процитировано
Год
Behavioral cloning from observation
F Torabi, G Warnell, P Stone
2018 International Joint Conference on Artificial Intelligence, 2018
2312018
Deep TAMER: Interactive agent shaping in high-dimensional state spaces
G Warnell, N Waytowich, V Lawhern, P Stone
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1192018
Generative adversarial imitation from observation
F Torabi, G Warnell, P Stone
arXiv preprint arXiv:1807.06158, 2018
762018
Adaptive rate compressive sensing for background subtraction
G Warnell, D Reddy, R Chellappa
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
562012
Adaptive-rate compressive sensing using side information
G Warnell, S Bhattacharya, R Chellappa, T Basar
IEEE Transactions on Image Processing 24 (11), 3846-3857, 2015
492015
Recent advances in imitation learning from observation
F Torabi, G Warnell, P Stone
arXiv preprint arXiv:1905.13566, 2019
432019
D4L: Decentralized dynamic discriminative dictionary learning
A Koppel, G Warnell, E Stump, A Ribeiro
IEEE Transactions on Signal and Information Processing over Networks 3 (4 …, 2017
382017
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
35*2017
Agents teaching agents: A survey on inter-agent transfer learning
FL Da Silva, G Warnell, AHR Costa, P Stone
Autonomous Agents and Multi-Agent Systems 34 (1), 1-17, 2020
322020
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
The Journal of Machine Learning Research 20 (1), 83-126, 2019
282019
Deterministic implementations for reproducibility in deep reinforcement learning
P Nagarajan, G Warnell, P Stone
arXiv preprint arXiv:1809.05676, 2018
242018
Online learning for characterizing unknown environments in ground robotic vehicle models
A Koppel, J Fink, G Warnell, E Stump, A Ribeiro
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
202016
APPLD: Adaptive planner parameter learning from demonstration
X Xiao, B Liu, G Warnell, J Fink, P Stone
arXiv preprint arXiv:2004.00116, 2020
192020
Policy evaluation in continuous MDPs with efficient kernelized gradient temporal difference
A Koppel, G Warnell, E Stump, P Stone, A Ribeiro
IEEE Transactions on Automatic Control 66 (4), 1856-1863, 2020
17*2020
Imitation learning from video by leveraging proprioception
F Torabi, G Warnell, P Stone
arXiv preprint arXiv:1905.09335, 2019
172019
CMOS baseline tracking and cancellation instrumentation for nanoparticle-coated chemiresistors
DJ Rairigh, GA Warnell, C Xu, ET Zellers, AJ Mason
Biomedical Circuits and Systems, IEEE Transactions on 3 (5), 267-276, 2009
162009
The future of human robot teams in the army: Factors affecting a model of human-system dialogue towards greater team collaboration
AW Evans, M Marge, E Stump, G Warnell, J Conroy, D Summers-Stay, ...
Advances in human factors in robots and unmanned systems, 197-209, 2017
152017
Adversarial imitation learning from state-only demonstrations
F Torabi, G Warnell, P Stone
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
142019
The impact of nondeterminism on reproducibility in deep reinforcement learning
P Nagarajan, G Warnell, P Stone
142018
RIDM: Reinforced inverse dynamics modeling for learning from a single observed demonstration
BS Pavse, F Torabi, JP Hanna, G Warnell, P Stone
arXiv preprint arXiv:1906.07372, 2019
132019
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