Search-Free Planning in Latent Space for Visual Control
In brief
- HIJP replaces online search with a goal-conditioned inverse model to predict actions directly.
- The method enhances action-transition consistency in latent space.
- Results: 86.8% success rate and up to 16.5x faster than traditional methods.
Researchers introduce a method for visual planning that avoids costly online optimization. Their HIJP approach uses a goal-conditioned inverse model to directly predict actions from observations. Results show improved performance and speed on visual control tasks.
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