Forked from: https://gitlab.tubit.tu-berlin.de/shoefer/mbrrl2
mbrrl2 is a fork of libPRADA
- New object-oriented interface of the relational rule learner
- Task-sensitive learning as presented in [1]
- Incremental rule learning
- Several bugfixes
The new rule learner interface requires boost. If you don't want to use it
set RULELEARNER2 = 0 in the make-config file in the root directory.
Please type make in the root directory.
Then, try out the demos in mbrrl2/test.
New demos are
test/incremental(showing how to use incremental rule learning)test/tasksensitive_example(showing a the task-sensitive cost function presented in [2])
To understand the main features of this library, please read the guide: doc/guide.pdf
... please cite the following paper:
[1] Sebastian Höfer, Tobias Lang, Oliver Brock
Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA),
2014, pp. 4342-4347.
Bibtex:
@inproceedings{hoefer_extracting_2014,
Title = {Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning},
Author = {Sebastian Höfer and Tobias Lang and Oliver Brock},
Booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
Pages = {4342-4347},
Year = {2014},
Doi = {10.1109/ICRA.2014.6907491},
Location = {Hong Kong, China},
Url = {http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/hoefer_extracting_2014.pdf},
}
If you use the planner PRADA, please cite:
[2] Planning with Noisy Probabilistic Relational Rules
Journal of Artificial Intelligence Research
2010, Volume 39, pages 1-49
Bibtex:
@article{lang-toussaint-10jair,
author = {Tobias Lang and Marc Toussaint},
title = {Planning with Noisy Probabilistic Relational Rules},
journal = {Journal of Artificial Intelligence Research},
year = {2010},
volume = {39},
pages = {1-49},
pdfurl = {http://www.jair.org/media/3093/live-3093-5172-jair.pdf},
}
If you use the relational rule learner, please cite the original publication presenting this learner:
[3] Pasula, Hanna M., Luke S. Zettlemoyer, and Leslie Pack Kaelbling.
Learning symbolic models of stochastic domains.
Journal of Artificial Intelligence Research 29 (2007): 309-352.
Bibtex:
@article{pasula2007learning,
title={Learning symbolic models of stochastic domains},
author={Pasula, Hanna M and Zettlemoyer, Luke S and Kaelbling, Leslie Pack},
journal={Journal of Artificial Intelligence Research},
volume={29},
pages={309--352},
year={2007}
}
mbrrl2 is a fork of libPRADA by Sebastian Höfer [email protected].
libPRADA Copyright 2008-2012 Tobias Lang email: [email protected]
This file is part of mbrrl2/libPRADA.
mbrrl2/libPRADA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
mbrrl2 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 General Public License for more details.
You should have received a copy of the GNU General Public License along with mbrrl2. If not, see http://www.gnu.org/licenses/
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