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The actions precede observations in the trajectories (here is the line where they are concatenated).
The applied actions are forces. Here is the MazeEnv definition from D4RL, which you can follow upstream to the MujocoEnv class from mujoco-py, if you would like to take a look at some of the (python-wrapped) simulation code.
A single sample in the D4RL Maze2D environment is of dimension (384, 6)
Can you please clarify the below 2 questions:
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