I'm trying to create a custom open ai gym environment and I'm struggling to understand how to get my observation space set up correctly.
Lets say I want my observation space to have 4 values, each with a minimum of -4 and a max of 4. I define the observation space like this in my environment's init function:
self.observation_space = Box(low = np.array([-4, -4, -4, -4]), high = np.array([4, 4, 4, 4]))
but when I go to fit my dqn model, I get this error:
"ValueError: Error when checking input: expected dense_3_input to have 2 dimensions, but got array with shape (1, 1, 4)"
If anyone can help me understand what I've done wrong I'd really appreciate it. Thanks
question from:https://stackoverflow.com/questions/65918525/need-help-getting-my-observation-space-in-the-right-shape-openaitensorflow
