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I wanna train my agent in CarRacing-v0 environment, but instead of box action/observation spaces I want to use discrete spaces so I can train it with DQN algorithm. there is a sayin in openai-gym that says: "Discreet control is reasonable in this environment as well, on/off discretisation is fine." https://gym.openai.com/envs/CarRacing-v0/
but I don't know how to do it in code or in pragmatic way.
The text was updated successfully, but these errors were encountered:
I wanna train my agent in CarRacing-v0 environment, but instead of box action/observation spaces I want to use discrete spaces so I can train it with DQN algorithm. there is a sayin in openai-gym that says: "Discreet control is reasonable in this environment as well, on/off discretisation is fine."
https://gym.openai.com/envs/CarRacing-v0/
but I don't know how to do it in code or in pragmatic way.
The text was updated successfully, but these errors were encountered: