Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization

Published:2023-12-13 Issue: Volume:130 Page:38-45
ISSN:
Container-title:2023 62nd IEEE Conference on Decision and Control (CDC)
language:
Short-container-title:

Author:

Bušić Ana¹,Meyn Sean²,Cammardella Neil³

Affiliation:

1. Inria and DI ENS, École Normale Supérieure, CNRS, PSL Research University,Paris,France

2. University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,32611

3. Applications Engineer at Emera Technologies, LLC,Halifax,Canada

Funder

French National Research Agency

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383868.pdf?arnumber=10383868

Reference30 articles.

1. Packetized energy management: Asynchronous and anonymous coordination of thermostatically controlled loads

2. Logistic Q-learning;Bas Serrano

3. A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads

4. Adaptive Algorithms and Stochastic Approximations

5. The ODE method for asymptotic statistics in stochastic approximation and reinforcement learning;Borkar;arXiv e-prints:2110.14427,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP