Thompson sampling for linear quadratic mean-field teams
Author:
Affiliation:
1. USC,Qualcomm AI Research,Department of EE,San Diego
2. University of Southern California,Department of Electrical Engineering,Los Angeles,CA
3. Mcgill University,Canada
4. Preferred Networks,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683030.pdf?arnumber=9683030
Reference38 articles.
1. On consistency for the method of least squares using martingale theory
2. Learning mean-field games;guo;Neural Information Processing Systems,2019
3. Reinforcement learning for mean field game;tiwari,2019
4. Reinforcement learning in stationary mean-field games;subramanian;International Conference on Autonomous Agents and Multi-Agent Systems,2019
5. Mean field multi-agent reinforcement learning;yang;International Conference on Machine Learning,2018
Cited by 2 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. Scalable Regret for Learning to Control Network-Coupled Subsystems With Unknown Dynamics;IEEE Transactions on Control of Network Systems;2023-03
2. A modified Thompson sampling-based learning algorithm for unknown linear systems;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
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