Te Sun

According to our database, Te Sun authored at least 4 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Efficient State Representation Learning for Dynamic Robotic Scenarios.

Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez

CoRR, 2021

2020

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control.

Ke Lin, Liang Gong, Xudong Li, Te Sun, Binhao Chen, Chengliang Liu, Zhengfeng Zhang, Jian Pu, Junping Zhang

CoRR, 2020

2019

DisCoRL: Continual Reinforcement Learning via Policy Distillation.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019