Reinforcement Learning, Machine Learning, AI, Artificial Intelligence, Algorithms.
environment env = DummyVecEnv([lambda: RoboticGraspingEnv()]) # Define and train the model using Model-Based Proximal Policy Optimization (MBPO) model = MBPO("MlpPolicy", env, verbose=1) model.learn(total_timesteps=50000) # Save the trained model model.save("grasping_model") # Load the trained