zhiqiwangebay

In ch_03 https://github.com/maxpumperla/learning_ray/blob/main/notebooks/ch_03_core_app.ipynb train_policy_parallel function, ``` def train_policy_parallel(env, num_episodes=1000, num_simulations=4): """Parallel policy training function.""" policy = Policy(env) simulations = [SimulationActor.remote() for _ in range(num_simulations)] policy_ref = ray.put(policy) for _ in...