Translations:Diffusion Models Are Real-Time Game Engines/73/zh: Difference between revisions

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Message definition (Diffusion Models Are Real-Time Game Engines)

We compare training on agent-generated data to training on data generated using a random policy. For the random policy, we sample actions following a uniform categorical distribution that doesn’t depend on the observations. We compare the random and agent datasets by training 2 models for 700k steps along with their decoder. The models are evaluated on a dataset of 2048 human-play trajectories from 5 levels. We compare the first frame of generation, conditioned on a history context of 64 ground-truth frames, as well as a frame after 3 seconds of auto-regressive generation.

我们将代理生成的数据训练与使用随机策略生成的数据训练进行比较。对于随机策略，我们根据与观测结果无关的均匀分类分布对动作进行采样。我们通过对两个模型及其解码器进行