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.


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    Title :

    A New Approach in Controlling the Compressor of the Vehicle Air Conditioning System


    Contributors:
    Kasbi, M.J. (author) / Sallans, B. (author) / Russ, G. (author)


    Publication date :

    2006-01-01


    Size :

    1849492 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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