[Python] How to design observation space and env in SAC?

Discussão em 'Python' iniciado por Stack, Junho 5, 2025.

  1. Stack

    Stack Membro Participativo

    I have a system with 3 pumps connected to a water pressure sensor. The other side of the sensor connects to 7 water pipes with random and varying usage.

    The pumps have adjustable opening degrees from 0 to 100.

    The water pressure sensor output ranges from 0 to 1.

    Each of the 7 pipes has a random usage ranging from 0 to 300.

    I want to design an observation space and Gym environment for reinforcement learning to control the pumps so that the pressure stabilizes around 0.5.

    How should I design the observation space? Should the observation include:

    Current pressure (0-1)

    Usage of each of the 7 pipes (0-300 each)

    And what about the action space? I plan to control the opening degree of each pump.

    Could you suggest a proper way to design the Gym environment for this problem, including the observation space, action space, and reward function ideas?

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