Rongshun Juan

According to our database, Rongshun Juan authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

Model-based Adversarial Imitation Learning from Demonstrations and Human Reward.

Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakarnura, Guangliang Li

IROS, 2023

Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model.

Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback.

Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Transferring policy of deep reinforcement learning from simulation to reality for robotics.

Hao Ju, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li

Nat. Mac. Intell., December, 2022

2021

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback.

Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li

CoRR, 2021

Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback.

Rongshun Juan, Jie Huang, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021