How can i know which actions have the agent in the enviroment in algorithms of Stable-baselines3?

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  • stable-baselines3

    PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

    • I'm working with the library of Stable-baselines3 (https://github.com/DLR-RM/stable-baselines3) and i've tried with Soft Actor Critic(SAC)i started to use this packages and i have a question about the actions. I know the kind of space in SAC how explaind in (https://stable-baselines3.readthedocs.io/en/master/modules/sac.html) but i would like to know what kind of actions do the agent in the enviroment, specifically with the robotic enviroment "Fetch" in the task of pick and place

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