Difference between revisions of "LightR"

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m (Towards differentiable programming)
m (simplify)
 
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This page is under construction. For recent activities, see [[/Version History|Version History]].  
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'''LightR''' is a complete overhaul from its predecessor, [[ScalarR]], to specialize in 1v1 scenarios. See [[/Version History | Version History]] for recent activities.
  
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==== Description ====
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A plan with little weight,<br>
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But heavy with machine learning fate.
  
; 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)
 
  
 
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{{Template:Bot Categorizer|author=Xor|isMega=true|isOneOnOne=true|isMelee=false|isOpenSource=false|extends=Interface}}
 
{{Template:Bot Categorizer|author=Xor|isMega=true|isOneOnOne=true|isMelee=false|isOpenSource=false|extends=Interface}}

Latest revision as of 16:08, 1 March 2023

Sub-pages:
Version History

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

Description

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