LightR

LightR Sub-pages:

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Design principle

Strategy light, machine learning heavy.

Planned experiments

Towards deep learning:

Multiple hand-tuned danger models -> Expert model & gate model

Hand-crafted features with naive KNN -> Search-based sequence model

Slow networks -> Knowledge distill & quantization aware training

Offline pre-training & online fine-tuning of everything above.

Towards differentiable programming:

Directly optimizing max escape angle & prior probability of getting hit (distancing)

Per-instance level optimization of the above (mea & distancing as part of network)