Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations-Reference-Cited by-同舟云学术

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Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations

Published:2024-05-13 Issue: Volume:125 Page:9502-9508
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Wu Kefei¹,He Xuming¹,Wang Yang¹,Liu Xiaopei¹

Affiliation:

1. ShanghaiTech University

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610992.pdf?arnumber=10610992

Reference33 articles.

1. Pybullet, a python module for physics simulation for games, robotics and machine learning;Coumans,2016

2. SOFA - an Open Source Framework for Medical Simulation;Allard;MMVR 15-Medicine Meets Virtual Reality,2007

3. OpenFOAM: A C++ library for complex physics simulations;Jasak

4. SoftCon

5. From Simulation to Reality: A Learning Framework for Fish-Like Robots to Perform Control Tasks

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