OpenAI Gym: Understanding `action_space` notation (spaces.Box)

微笑、不失礼 提交于 2020-12-01 08:18:23

问题


I want to setup an RL agent on the OpenAI CarRacing-v0 environment, but before that I want to understand the action space. In the code on github line 119 says:

self.action_space = spaces.Box( np.array([-1,0,0]), np.array([+1,+1,+1]))  # steer, gas, brake

How do I read this line? Although my problem is concrete wrt CarRacing-v0 I would like to understand the spaces.Box() notation in general


回答1:


Box means that you are dealing with real valued quantities.

The first array np.array([-1,0,0] are the lowest accepted values, and the second np.array([+1,+1,+1]) are the highest accepted values. In this case (using the comment) we see that we have 3 available actions:

  1. Steering: Real valued in [-1, 1]
  2. Gas: Real valued in [0, 1]
  3. Brake: Real valued in [0, 1]


来源:https://stackoverflow.com/questions/44404281/openai-gym-understanding-action-space-notation-spaces-box

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