Reinforcement Learning, Machine Learning, AI, Artificial Intelligence, Algorithms.
np.random.rand() new_observation = np.random.rand(5) # Replace with actual dynamics logic self.current_step += 1 done = self.current_step >= self.max_steps info = {} # Additional information, if needed return new_observation, reward, done, info # Wrap the custom environment with a vectorized