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Mark Rucker's Projects

coba icon coba

Contextual bandit benchmarking

data.net icon data.net

A .NET library written to read, modify, and write large data sets while using minimal processing, memory, and bandwidth

dsi-values icon dsi-values

An online movie recommendation site for Charlottesville Virginia. The implemented recommendation algorithm is a contextual bandit modification of Abbeel and Ngs "Apprenticeship Learning via Inverse Reinforcement Learning".

genieclust icon genieclust

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

irl icon irl

A collection of IRL implementations and experiments

kpirl-kla icon kpirl-kla

This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms have been published in "Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning."

ms-thesis icon ms-thesis

All code (website, algorithms and plots) for MS Thesis

vowpal_wabbit icon vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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