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Planning via gradient-based optimization in continuous MDPs using TensorFlow.

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# tf-plan [![Build Status](https://travis-ci.org/thiagopbueno/tf-plan.svg?branch=master)](https://travis-ci.org/thiagopbueno/tf-plan) [![License](https://img.shields.io/aur/license/yaourt.svg)](https://github.com/thiagopbueno/tf-plan/blob/master/LICENSE)

Planning via gradient-based optimization in continuous MDPs using TensorFlow.

tf-plan is an implementation based on the following NIPS paper:

> Wu Ga, Buser Say, and Scott Sanner, 2017<br>
> **[Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.](http://papers.nips.cc/paper/7207-scalable-planning-with-tensorflow-for-hybrid-nonlinear-domains.pdf)**<br>
> In Advances in *Neural Information Processing Systems* (pp. 6273-6283).


# License

Copyright (c) 2018 Thiago Pereira Bueno All Rights Reserved.

tf-plan is free software: you can redistribute it and/or modify it
under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 3 of the License, or (at
your option) any later version.

tf-plan is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser
General Public License for more details.

You should have received a copy of the GNU Lesser General Public License
along with tf-plan. If not, see http://www.gnu.org/licenses/.

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