Python code that implements the Inverse Correlated Equilibrium optimization
Switch branches/tags
Nothing to show
Clone or download
Latest commit 0e4ff7d Sep 4, 2012
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md updated README Sep 4, 2012
ce.py Initial commit Sep 4, 2012
chicken.py renamed chicken() to create() Sep 4, 2012
game.py Initial commit Sep 4, 2012
ice.py Initial commit Sep 4, 2012
indexing.py Initial commit Sep 4, 2012
loss.py added logloss Sep 4, 2012
routing.py added routing game, changed creation function name to create Sep 4, 2012
run.py added example usage for routing game Sep 4, 2012
sample.py added uniform sampling Sep 4, 2012
sgd.py Initial commit Sep 4, 2012

README.md

ice

Author: Kevin Waugh (waugh@cs.cmu.edu)

Solves the ICE estimation problem described in Waugh et al. 2011 using stochastic gradient descent. The routing game described in the paper is included as an example. See run.py for example usage.

This code requires numpy and scipy.