FCM-Induced Switching Reinforcement Learning for Collaborative Learning
Author:
Affiliation:
1. Osaka Metropolitan University,Graduate School of Informatics,Sakai,Japan,599-8531
2. Osaka Metropolitan University,Graduate School of Sustainable System Sciences,Sakai,Japan,599-8531
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651060.pdf?arnumber=10651060
Reference17 articles.
1. Fuzzy Collaborative Forecasting and Clustering
2. Multi-agent reinforcement learning: a review of challenges and applications;Canese;Applied Sciences,2021
3. Parallel reinforcement learning;Kretchmar
4. Parallel Reinforcement Learning with Linear Function Approximation
5. Provably efficient cooperative multi-agent reinforcement learning with function approximation;Dubey,2021
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