Reinforcement Learning on real time data over a web server












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Question: is it possible to implement a reinforcement learning model over a NodeJS server?



This server would be receiving binary forms of data (open /close; yes/no) in real time.



The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.



Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.










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    2












    $begingroup$


    Question: is it possible to implement a reinforcement learning model over a NodeJS server?



    This server would be receiving binary forms of data (open /close; yes/no) in real time.



    The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.



    Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.










    share|improve this question









    New contributor




    Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      2












      2








      2





      $begingroup$


      Question: is it possible to implement a reinforcement learning model over a NodeJS server?



      This server would be receiving binary forms of data (open /close; yes/no) in real time.



      The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.



      Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.










      share|improve this question









      New contributor




      Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Question: is it possible to implement a reinforcement learning model over a NodeJS server?



      This server would be receiving binary forms of data (open /close; yes/no) in real time.



      The objective for the model is to learn from the incoming data for a few days and then predict values for next day (similar to time series, but not exactly). The learned parameters need to be flushed every week.



      Note: the training data I have doesn't allow for supervised learning - i.e. there is no data for the target class.







      machine-learning deep-learning time-series dataset reinforcement-learning






      share|improve this question









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      Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share|improve this question









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      edited 18 hours ago









      bradS

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      asked yesterday









      Savinay_Savinay_

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          $begingroup$

          Yes - You need to define an Agent, Environment, State, and Rewards:



          Agent - The current week process.

          Environment - Server.

          State - Current data.

          Rewards - Predicted future values are the same observed values.



          Then implement in JavaScript. One JavaScript framework is REINFORCEjs






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            1 Answer
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            1 Answer
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            active

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            $begingroup$

            Yes - You need to define an Agent, Environment, State, and Rewards:



            Agent - The current week process.

            Environment - Server.

            State - Current data.

            Rewards - Predicted future values are the same observed values.



            Then implement in JavaScript. One JavaScript framework is REINFORCEjs






            share|improve this answer









            $endgroup$


















              0












              $begingroup$

              Yes - You need to define an Agent, Environment, State, and Rewards:



              Agent - The current week process.

              Environment - Server.

              State - Current data.

              Rewards - Predicted future values are the same observed values.



              Then implement in JavaScript. One JavaScript framework is REINFORCEjs






              share|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                Yes - You need to define an Agent, Environment, State, and Rewards:



                Agent - The current week process.

                Environment - Server.

                State - Current data.

                Rewards - Predicted future values are the same observed values.



                Then implement in JavaScript. One JavaScript framework is REINFORCEjs






                share|improve this answer









                $endgroup$



                Yes - You need to define an Agent, Environment, State, and Rewards:



                Agent - The current week process.

                Environment - Server.

                State - Current data.

                Rewards - Predicted future values are the same observed values.



                Then implement in JavaScript. One JavaScript framework is REINFORCEjs







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 11 hours ago









                Brian SpieringBrian Spiering

                3,7881028




                3,7881028






















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