Reinforcement Learning, Gaming, Deep Learning.
next_obs obs_b, action_b, reward_b, done_b = map(torch.stack, zip(*transitions)) running_return = torch.zeros(self.env.num_envs, dtype=torch.float32, device=device) return_b = torch.zeros_like(reward_b) for row in range(self.episode_length - 1, -1, -1): running_return = reward_b[row] + ~done_b[row]