Generate patrolling paths via Inverse Reinforcement Learning

Project consists of a MATLAB component for Inverse Reinforcement Learning of patrolling paths generated using the Open Motion Planning Library, and a Python script to visualize the polcies as a new trajectory.

Modification of Sergey Levein's work, found at: https://graphics.stanford.edu/projects/gpirl/ Copyright (c) 2011, Sergey Levine All rights reserved.

This software is made available under the Creative Commons Attribution-Noncommercial License, viewable at http://creativecommons.org/licenses/by-nc/3.0/. You are free to use, copy, modify, and re-distribute the work. However, you must attribute any re-distribution or adaptation in the manner specified below, and you may not use this work for commercial purposes without the permission of the author.

Any re-distribution or adaptation of this work must contain the author's name (Sergey Levine) and a link to the software's original webpage.

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