Reinforcement Learning, Gaming, Deep Learning.
getattr(env, "num_envs", 1) self.obs_rms = RunningMeanStd(shape=self.observation_space.shape[-1]) self.epsilon = epsilon def step(self, action): obs, rews, dones, infos = self.env.step(action) obs = self.normalize(obs) return obs, rews, dones, infos def reset(self, **kwargs): return_info =