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Openai Spaces for a modified environment


Actor-Critic in Discrete action spacesQ Learning Neural network for tic tac toe Input implementation probleminverted pendulum REINFORCEWhat is wrong with this reinforcement learning environment ?out of memory error when consrtucting 2d list from 2 numpy arraysReinforcement learning: easily learnable state representationIs RL applicable to environments that are totally RANDOM?Why not use max(returns) instead of average(returns) in off-policy Monte Carlo control?Gym action space for board game with reward functionKeras Loss Value Extremely High + Prediction Result same













0












$begingroup$


I have a 2-dimensional array of normalized data. I am using



space = np.array([0,1,...366],[0,0.000001,.....1])


I need to fit this as an observation space in reinforcement learning. I have extended the open ai gym and created a custom made environment. How to fit in this 2-dimensional array in openAI spaces.
Can I use Box, DiscreteSpace or MultiDiscrete space? Can anyone help me with a sample code to fit this in observation space?










share|improve this question









New contributor




Karthik Rajkumar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
















    0












    $begingroup$


    I have a 2-dimensional array of normalized data. I am using



    space = np.array([0,1,...366],[0,0.000001,.....1])


    I need to fit this as an observation space in reinforcement learning. I have extended the open ai gym and created a custom made environment. How to fit in this 2-dimensional array in openAI spaces.
    Can I use Box, DiscreteSpace or MultiDiscrete space? Can anyone help me with a sample code to fit this in observation space?










    share|improve this question









    New contributor




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







    $endgroup$














      0












      0








      0





      $begingroup$


      I have a 2-dimensional array of normalized data. I am using



      space = np.array([0,1,...366],[0,0.000001,.....1])


      I need to fit this as an observation space in reinforcement learning. I have extended the open ai gym and created a custom made environment. How to fit in this 2-dimensional array in openAI spaces.
      Can I use Box, DiscreteSpace or MultiDiscrete space? Can anyone help me with a sample code to fit this in observation space?










      share|improve this question









      New contributor




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







      $endgroup$




      I have a 2-dimensional array of normalized data. I am using



      space = np.array([0,1,...366],[0,0.000001,.....1])


      I need to fit this as an observation space in reinforcement learning. I have extended the open ai gym and created a custom made environment. How to fit in this 2-dimensional array in openAI spaces.
      Can I use Box, DiscreteSpace or MultiDiscrete space? Can anyone help me with a sample code to fit this in observation space?







      python deep-learning reinforcement-learning q-learning openai-gym






      share|improve this question









      New contributor




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











      share|improve this question









      New contributor




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









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      edited 9 hours ago







      Karthik Rajkumar













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      asked 9 hours ago









      Karthik RajkumarKarthik Rajkumar

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