Reinforcement Learning, Gaming, Deep Learning.
self.return_rms.update(self.returns) return rews / torch.sqrt(self.return_rms.var + self.epsilon) entry_point = functools.partial(envs.create_gym_env, env_name='inverted_pendulum') gym.register('brax-inverted_pendulum-v0', entry_point=entry_point) def create_env(env_name, num_envs=256,