## Learning a POMDP policy from human demonstrations

Human teachers demonstrate a search task to a robot in a “Programming by Demonstration” framework.

Human teachers demonstrate a search task to a robot in a “Programming by Demonstration” framework.

A matlab (E)xponential-PCA package for non-linear dimensionality reduction.

A C++ software package which allows to simulate and control the KUKA LWR robot.

A machine learning toolbox containing a collection of methods (classification, regression, projection, reinforcement learning)

A Bayesian filter tailored for negative information

A set of regression methods written in C++ with a Python interface.

A Point Mass Filter (PMF) is Bayesian state space estimator written in C++ and Matlab.

A POMDP policy is learned from demonstrations and improved in a Reinforcement learning framework.

An autonomous 6 wheel drive rover.

A tacticle classifier for the Syntouch artificial finger sensor.