Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning
Author:
Affiliation:
1. Department of Computer Science, The University of Hong Kong, Hong Kong, SAR, China
2. Chinese Academy of Sciences, Institute of Software, Beijing, China
Funder
Huawei Flagship Research Grant in 2021
HKU-SCF FinTech Academy Research and Development Funding Scheme in 2021
RGC GRF
Shanghai AI Lab
HKU and IS-CAS Joint Lab for Intelligent System Software
Croucher Innovation Award
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10024910/09670456.pdf?arnumber=9670456
Reference61 articles.
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2. Learning to adapt in dynamic, real-world environments through meta-reinforcement learning;nagabandi;arXiv 1803 11347,2019
3. RoboNet: Large-scale multi-robot learning;dasari;arXiv 1910 11215,2020
4. How to train your robot with deep reinforcement learning: lessons we have learned
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