Difference between revisions of "LightR"

Latest revision as of 16:08, 1 March 2023

LightR is a complete overhaul from its predecessor, ScalarR, to specialize in 1v1 scenarios. See Version History for recent activities.

A plan with little weight,
But heavy with machine learning fate.

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-This page is under construction. For recent activities, see [[/Version History|Version History]].
+'''LightR''' is a complete overhaul from its predecessor, [[ScalarR]], to specialize in 1v1 scenarios. See [[/Version History | Version History]] for recent activities.
+==== Description ====
+A plan with little weight,<br>
+But heavy with machine learning fate.
-; 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 and multi-wave risk fusion)
-:: Per-instance level optimization of the above (Pareto frontier)
-:: List-wise modeling of targeting & surfing
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