Multi-Agent Reinforcement Learning Based Actuator Control for EV HVAC Systems
Author:
Affiliation:
1. MakinaRocks, Seoul, Republic of Korea
2. Hanon Systems, Deajeon, Republic of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/09973292.pdf?arnumber=9973292
Reference42 articles.
1. Reinforcement learning-based thermal comfort control for vehicle cabins
2. Emergent tool use from multi-agent autocurricula;baker;arXiv 1909 07528,2019
3. A New Approach in Controlling the Compressor of the Vehicle Air Conditioning System
4. Multi-agent deep reinforcement learning: a survey
5. A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems
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5. Deep Q-Network-Based Controller for Cabin Cooling System of Electric Vehicles;IEEE Access;2023
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