Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
state[2] else 0 # Keep track of the states, actions, and rewards for each step in the episode # Run the episode while True: count=count+1 # Get the action probabilities from the policy network action_probs, _ = model.predict(np.array([state]),verbose=0) # Choose an action based on the action