LightR

From Robowiki
Revision as of 07:21, 20 March 2022 by Xor (talk | contribs) (Learned models -> learned systems)
Jump to navigation Jump to search
LightR Sub-pages:
Version History

This page is under construction. For recent activities, see Version History.


Design principle
Strategy light, machine learning heavy.
Central goal
Learned models -> learned systems
Planned experiments
Towards deep learning:
Multiple hand-tuned danger models -> Expert model & gate model
Hand-crafted features with naive KNN -> Search-based sequence model
Offline pre-training & online fine-tuning of everything above.
Towards differentiable programming:
Directly optimizing prior probability of getting hit (max escape angle & distancing)
Per-instance level optimization of the above (mea & distancing as part of network)