Bo Liu
Bo Liu
Подтвержден адрес электронной почты в домене cs.utexas.edu
Название
Процитировано
Процитировано
Год
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
222020
Predicting pregnancy using large-scale data from a women's health tracking mobile application
B Liu, S Shi, Y Wu, D Thomas, L Symul, E Pierson, J Leskovec
The World Wide Web Conference, 2999-3005, 2019
202019
A lifelong learning approach to mobile robot navigation
B Liu, X Xiao, P Stone
IEEE Robotics and Automation Letters 6 (2), 1090-1096, 2021
182021
Motion control for mobile robot navigation using machine learning: a survey
X Xiao, B Liu, G Warnell, P Stone
arXiv preprint arXiv:2011.13112, 2020
152020
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
142021
Agile robot navigation through hallucinated learning and sober deployment
X Xiao, B Liu, P Stone
arXiv preprint arXiv:2010.08098, 2020
142020
Applr: Adaptive planner parameter learning from reinforcement
Z Xu, G Dhamankar, A Nair, X Xiao, G Warnell, B Liu, Z Wang, P Stone
arXiv preprint arXiv:2011.00397, 2020
122020
Appli: Adaptive planner parameter learning from interventions
Z Wang, X Xiao, B Liu, G Warnell, P Stone
arXiv preprint arXiv:2011.00400, 2020
112020
Human gaze assisted artificial intelligence: a review
R Zhang, A Saran, B Liu, Y Zhu, S Guo, S Niekum, D Ballard, M Hayhoe
IJCAI: Proceedings of the Conference 2020, 4951, 2020
112020
DualSMC: Tunneling differentiable filtering and planning under continuous POMDPs
Y Wang, B Liu, J Wu, Y Zhu, SS Du, L Fei-Fei, JB Tenenbaum
arXiv preprint arXiv:1909.13003, 2019
10*2019
APPL: Adaptive Planner Parameter Learning
X Xiao, Z Wang, Z Xu, B Liu, G Warnell, G Dhamankar, A Nair, P Stone
arXiv preprint arXiv:2105.07620, 2021
52021
Firefly neural architecture descent: a general approach for growing neural networks
L Wu, B Liu, P Stone, Q Liu
arXiv preprint arXiv:2102.08574, 2021
42021
Human versus Machine Attention in Deep Reinforcement Learning Tasks
R Zhang, B Liu, Y Zhu, S Guo, M Hayhoe, D Ballard, P Stone
arXiv e-prints, arXiv: 2010.15942, 2020
4*2020
Comparing Human and AI Attention in Visuomotor Tasks
R Zhang, S Guo, B Liu, Y Zhu, D Ballard, P Stone, M Hayhoe
Journal of Vision 21 (9), 2056-2056, 2021
2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
B Liu, Q Liu, P Stone, A Garg, Y Zhu, A Anandkumar
arXiv preprint arXiv:2105.08692, 2021
2021
Team Orienteering Coverage Planning with Uncertain Reward
B Liu, X Xiao, P Stone
arXiv preprint arXiv:2105.03721, 2021
2021
Adaptive Planner Parameter Learning for Mobile Robot Navigation in the Wild
X Xiao, B Liu, G Warnell, Z Wang, Z Xu, G Dhamankar, A Nair, P Stone
2021
Aux-AIRL: End-to-End Self-Supervised Reward Learning for Extrapolating beyond Suboptimal Demonstrations
Y Cui, B Liu, A Saran, S Giguere, P Stone, S Niekum
UT Austin Villa: An Open-source Gym Environment for Deep Reinforcement Learning on 3DSim
B Liu, W Macke, C Wang, Y Zhu, P MacAlpine, P Stone
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Статьи 1–19