Sokoban
PulseAugur coverage of Sokoban — every cluster mentioning Sokoban across labs, papers, and developer communities, ranked by signal.
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AI model for Sokoban game uses 'path channels' for planning
Researchers have partially reverse-engineered a convolutional recurrent neural network (RNN) used for the game Sokoban. They discovered that the network stores future moves, or plans, as activations within specific "pat…
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New WA* framework achieves zero-shot generalization in AI planning
Researchers have developed a novel self-improving planning framework called WA* that combines a value heuristic represented by a Relational Graph Neural Network with Q-learning. This approach guides search and uses the …
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Generative models achieve high-quality plan generation via self-improvement
Researchers have developed a self-improvement technique for generative models to produce high-quality plans more efficiently. This method involves fine-tuning an initial model with improved plans generated through a com…