PocketSPAR is a research app for studying visual planning with Stable Planning through Aligned Representations (SPAR) on iPhone and iPad.
The app runs prepared PocketSPAR profiles. A profile can include Core ML models, observation specifications, action labels, latent dimensions, and search settings prepared with PocketSPAR Bundler.
PocketSPAR supports SPAR-compatible domains such as Sokoban and Rubik's Cube. Profiles define their own required view count, action space, latent dimension, and search configuration.
Core workflows:
- Install a .pocketsparprofile file or a trusted HTTPS catalog profile.
- Capture or import start and goal observations.
- Inspect decoded latent-state reconstructions before search.
- Configure compute policy, memory strategy, batch size, and node limits.
- Run local Q* search with the profile's world model and heuristic function.
- Review solution cost, generated nodes, expanded nodes, elapsed time, and action sequence.
- Save sessions and export outputs for later comparison.
Camera frames and imported images are processed on device unless you explicitly export or share them, or send a solution preview to a local-network SokobanDemo instance.
Tracked by Kanon since Jul 1, 2026 · then 0 ratings
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FAQ
What is PocketSPAR?
PocketSPAR is a research app for studying visual planning with Stable Planning through Aligned Representations (SPAR) on iPhone and iPad. The app runs prepared PocketSPAR profiles. A profile can include Core ML models, observation specifications, action labels, latent dimensions, and search settings prepared with PocketSPAR Bundler. PocketSPAR supports SPAR-compatible domains such as Sokoban and Rubik's Cube. Profiles define their own required view count, action space, latent dimension, and se
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