Rongshun Juan

关于

暂无简介。

研究焦点

主要成就

代表论文

1. 1
   Transferring policy of deep reinforcement learning from simulation to reality for robotics

   128 次引用 · 2022
2. 2
   GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback

   9 次引用 · 2023
3. 3
   AD-RRT*: An RRT*-based global path planning approach for underwater gliders with alpha shapes and DBSCAN

   8 次引用 · 2025
4. 4
   Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback

   8 次引用 · 2021
5. 5
   Model-based Adversarial Imitation Learning from Demonstrations and Human Reward

   7 次引用 · 2023
6. 6
   Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model

   3 次引用 · 2023

主要合作者