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Garrett Warnell
Garrett Warnell
Research Scientist, Army Research Laboratory
Verified email at army.mil
Title
Cited by
Cited by
Year
Behavioral cloning from observation
F Torabi, G Warnell, P Stone
International Joint Conference on Artificial Intelligence, 2018
6972018
Deep TAMER: Interactive agent shaping in high-dimensional state spaces
G Warnell, N Waytowich, V Lawhern, P Stone
AAAI Conference on Artificial Intelligence, 2018
2692018
Generative adversarial imitation from observation
F Torabi, G Warnell, P Stone
arXiv preprint arXiv:1807.06158, 2018
2142018
Motion planning and control for mobile robot navigation using machine learning: a survey
X Xiao, B Liu, G Warnell, P Stone
Autonomous Robots, 1-29, 2022
1922022
Recent advances in imitation learning from observation
F Torabi, G Warnell, P Stone
International Joint Conference on Artificial Intelligence, 2019
1522019
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
872020
Socially compliant navigation dataset (SCAND): a large-scale dataset of demonstrations for social navigation
H Karnan, A Nair, X Xiao, G Warnell, S Pirk, A Toshev, J Hart, J Biswas, ...
IEEE Robotics and Automation Letters, 2022
802022
APPLD: Adaptive planner parameter learning from demonstration
X Xiao, B Liu, G Warnell, J Fink, P Stone
IEEE Robotics and Automation Letters 5 (3), 4541-4547, 2020
752020
Deterministic implementations for reproducibility in deep reinforcement learning
P Nagarajan, G Warnell, P Stone
arXiv preprint arXiv:1809.05676, 2018
622018
Adaptive rate compressive sensing for background subtraction
G Warnell, D Reddy, R Chellappa
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2012
622012
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
582015
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
IEEE International Conference on Acoustics, Speech and Signal Processing, 2017
51*2017
APPLR: Adaptive planner parameter learning from reinforcement
Z Xu, G Dhamankar, A Nair, X Xiao, G Warnell, B Liu, Z Wang, P Stone
IEEE International Conference on Robotics and Automation, 2021
502021
VOILA: Visual-observation-only imitation learning for autonomous navigation
H Karnan, G Warnell, X Xiao, P Stone
International Conference on Robotics and Automation, 2022
482022
APPL: Adaptive planner parameter learning
X Xiao, Z Wang, Z Xu, B Liu, G Warnell, G Dhamankar, A Nair, P Stone
Robotics and Autonomous Systems 154, 2022
472022
Human gaze-driven spatial tasking of an autonomous MAV
L Yuan, C Reardon, G Warnell, G Loianno
IEEE Robotics and Automation Letters 4 (2), 1343-1350, 2019
472019
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
Journal of Machine Learning Research 20 (1), 83-126, 2019
472019
APPLI: Adaptive planner parameter learning from interventions
Z Wang, X Xiao, B Liu, G Warnell, P Stone
IEEE International Conference on Robotics and Automation, 2021
462021
Toward agile maneuvers in highly constrained spaces: learning from hallucination
X Xiao, B Liu, G Warnell, P Stone
IEEE Robotics and Automation Letters 6 (2), 1503-1510, 2021
452021
An imitation from observation approach to transfer learning with dynamics mismatch
S Desai, I Durugkar, H Karnan, G Warnell, J Hanna, P Stone
Neural Information Processing Systems, 2020
442020
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