Contrastive Learning Of Structured World Models
Paper : Contrastive Learning Of Structured World Models Code : official 摘要 作者在强化学习任务中，提出了使用GNN来建模多物体之间的关系的方法，使用transE的思路来进行状态的预测，并通过Contrastive Loss 来进行训练，提出 C-SWM 模型。作者在雅达利游戏，多物体物理模拟等任务上达到了SOTA。 方法 C
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相关文章
- 1. A Simple Framework for Contrastive Learning of Visual Representations
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- 10. Representation Learning with Contrastive Predictive Coding