MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
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Author:

Chen Junfeng¹,Deng Fuqin¹,Gao Yuan¹,Hu Junjie¹,Guo Xiyue¹,Liang Guanqi²,Lam Tin Lun¹

Affiliation:

1. The Chinese University of Hong Kong,Shenzhen Institute of Artificial Intelligence and Robotics for Society(AIRS),Shen Zhen,China

2. The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354600.pdf?arnumber=10354600

Reference27 articles.

1. Learning quadrupedal locomotion over challenging terrain

2. Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

3. Reinforcement Learning in the Multi-Robot Domain

4. MuJoCo: A physics engine for model-based control

5. Roboschool;Schulman

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms;2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS);2023-12-04

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