Reinforcement Learning, Gaming, Deep Learning.
torch.sqrt(self.obs_rms.var + self.epsilon) class NormalizeReward(gym.core.Wrapper): def __init__(self, env, gamma=0.99, epsilon=1e-8): super().__init__(env) self.num_envs = getattr(env, "num_envs", 1) self.return_rms = RunningMeanStd(shape=()) self.returns = torch.zeros(self.num_envs).to(device)