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parameterized variable gradient ascent step size

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Kevin Dee
2026-01-11 18:50:14 -08:00
parent 7ba21fbaa7
commit 2a48b1d469
3 changed files with 7 additions and 1 deletions
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2
@agent/run.m
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@@ -66,7 +66,7 @@ function obj = run(obj, domain, partitioning, timestepIndex, index, agents)
gradC = [(C_delta(2)-C_delta(3))/(2*delta), (C_delta(4)-C_delta(5))/(2*delta), (C_delta(6)-C_delta(7))/(2*delta)];
% Compute scaling factor
targetRate = 0.2 - 0.0008 * timestepIndex; % slow down as you get closer
targetRate = obj.initialStepSize - obj.stepDecayRate * timestepIndex; % slow down as you get closer
rateFactor = targetRate / norm(gradC);
% Compute unconstrained next position