Typed decisions from existing MLX-LM and MLX-VLM models on Apple Silicon. No fine-tuning required. No extra decision weights. Related approaches: AnyJev, OpenDecider, Laya.
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Updated
Oct 13, 2026 - Python
Typed decisions from existing MLX-LM and MLX-VLM models on Apple Silicon. No fine-tuning required. No extra decision weights. Related approaches: AnyJev, OpenDecider, Laya.
Opportunistic planning model package for action selection, based on human behavior in everyday activities
Explainable action ranking from historical sequences — a Rust library and CLI, not a contextual bandit or online-learning library.
Measures action selection and abstention on frozen UI states.
Python/PyBullet port of Prescott et al. (2006)'s basal ganglia robot model — an embedded action selection architecture (EASA) running on real Khepera I geometry with realistic contact physics for a foraging task.
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Model development, analyses, and evaluation based on the opportunistic planning package.
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