This paper presents a first "proof of concept" for a Reinforcement Learning based controller used for a simple vehicle air conditioning system (AC) simulation. Our approach aims to control a vehicle aggregate locally using reinforcement learning (RL) techniques and to control the global system composed of these aggregates using Multi-agent system (MAS) techniques. This concept allows us to develop control systems for vehicles that are able to adapt to their environment and to learn without any external advisor.
A New Approach in Controlling the Compressor of the Vehicle Air Conditioning System
2006 IEEE Intelligent Vehicles Symposium ; 484-491
2006-01-01
1849492 byte
Conference paper
Electronic Resource
English
Method for controlling air-conditioning compressor, compressor and motor vehicle
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