skill-acquisition's Introduction

Autonomous Skill Acquisition

Temporal abstraction plays a key role in scaling up reinforcement learning algorithms. While learning and planning with given temporally extended actions has been well studied, the topic of how to construct this type of abstraction automatically from data is still open. We propose to to cluster the continuous state-interaction graph using community detection algorithms in order to construct extended actions, within the framework of options.

Pierre-Luc Bacon and Doina Precup. Using label propagation for learning temporally abstract
actions in reinforcement learning. In Proceedings of the Workshop on Multiagent Interaction Networks (MAIN 2013), 2013.

#License

Copyright (C) 2013  Pierre-Luc Bacon

This program 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 2
of the License, or (at your option) any later version.

This program 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 this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.

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