LightR
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- LightR Sub-pages:
- Version History
This page is under construction. For recent activities, see Version History.
- 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)
