Zhanpeng He

发表

Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018 .

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning pdf

Tianjian Chen, Matei Ciocarlie, Zhanpeng He, 2020, CoRL.

Truthful Team Formation for Crowdsourcing in Social Networks: (Extended Abstract)

Zhanpeng He, Wanyuan Wang, Peng Shi, 2016, AAMAS.

Demystifying Reproducibility in Meta- and Multi-Task Reinforcement Learning

Gaurav S. Sukhatme, Karol Hausman, Zhanpeng He, 2020, ICML 2020.

Learning 3D Dynamic Scene Representations for Robot Manipulation pdf

Jiajun Wu, Zhanpeng He, Shuran Song, 2020, CoRL.

Scaling simulation-to-real transfer by learning a latent space of robot skills

Karol Hausman, Joseph J. Lim, Eric Heiden, 2020, Int. J. Robotics Res..

Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks

Peng Shi, Zhanpeng He, Wanyuan Wang, 2019, IEEE Transactions on Mobile Computing.

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Sergey Levine, Karol Hausman, Zhanpeng He, 2019, CoRL.

Scaling simulation-to-real transfer by learning composable robot skills

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ISER.

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations pdf

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ArXiv.

SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks pdf

Zhanpeng He, Feng Xu, Peter K. Allen, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning pdf

Matei Ciocarlie, Zhanpeng He, 2021, ArXiv.

Co-designing hardware and control for robot hands

Matei Ciocarlie, Zhanpeng He, Tianjian Chen, 2021, Science Robotics.

Universal Manipulation Policy Network for Articulated Objects

Zhanpeng He, Zhenjia Xu, Shuran Song, 2022, IEEE Robotics and Automation Letters.

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

Matei Ciocarlie, Zhanpeng He, Tianjian Chen, 2020, CoRL.

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning pdf

Sergey Levine, Karol Hausman, Zhanpeng He, 2019, CoRL.