Yifeng Zhu
Yifeng Zhu
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Zero Shot Transfer Learning for Robot Soccer
D Schwab, Y Zhu, M Veloso
Proceedings of the 17th International Conference on Autonomous Agents andá…, 2018
132018
Learning Skills for Small Size League RoboCup
D Schwab, Y Zhu, M Veloso
Robot World Cup, 83-95, 2018
82018
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
32020
Learning Primitive Skills for Mobile Robots
Y Zhu, D Schwab, M Veloso
2019 International Conference on Robotics and Automation (ICRA), 7597-7603, 2019
32019
Towards High Level Skill Learning: Learn to Return Table Tennis Ball Using Monte-Carlo Based Policy Gradient Method
Y Zhu, Y Zhao, L Jin, J Wu, R Xiong
2018 IEEE International Conference on Real-time Computing and Robotics (RCARá…, 2018
32018
A learning framework towards real-time detection and localization of a ball for robotic table tennis system
Y Zhao, J Wu, Y Zhu, H Yu, R Xiong
2017 IEEE International Conference on Real-time Computing and Robotics (RCARá…, 2017
32017
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs
Y Zhu, J Tremblay, S Birchfield, Y Zhu
arXiv preprint arXiv:2012.07277, 2020
12020
Tensor action spaces for multi-agent robot transfer learning
D Schwab, Y Zhu, M Veloso
International Conference on Intelligent Robots and Systems (IROS) 2020, 3, 2020
12020
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Z Jiang, Y Zhu, M Svetlik, K Fang, Y Zhu
arXiv preprint arXiv:2104.01542, 2021
2021
Fast Uncertainty Quantification for Deep Object Pose Estimation
G Shi, Y Zhu, J Tremblay, S Birchfield, F Ramos, A Anandkumar, Y Zhu
arXiv preprint arXiv:2011.07748, 2020
2020
Human versus Machine Attention in Deep Reinforcement Learning Tasks
R Zhang, B Liu, Y Zhu, S Guo, M Hayhoe, D Ballard, P Stone
arXiv preprint arXiv:2010.15942, 2020
2020
CMÁs 2018 Team Description
P Cooksey, D Schwab, R Silva, R Jain, Y Zhu, M Veloso
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Articles 1–12