Reinforcement Learning, Machine Learning, AI, Artificial Intelligence, Algorithms.
initial state initial_observation = np.random.rand(5) # Replace with actual initialization logic return initial_observation def step(self, action): # Implement your dynamics and reward logic based on the action # For simplicity, let's assume a random reward and observation update reward =