Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks
Author:
Affiliation:
1. University of New Mexico,Department - of Computer Science,USA
2. DEVCOM Army Research Laboratory,USA
3. Google Deepmind,USA
Funder
National Science Foundation (NSF)
Air Force Research Laboratory (AFRL)
Army Research Laboratory (ARL)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341746.pdf?arnumber=10341746
Reference27 articles.
1. Symmetry in markov decision processes and its implications for single agent and multiagent learning;Zinkevich,2001
2. Openai gym;Brockman;arXiv preprint,2016
3. Reinforcement learning for problems with symmetrical restricted states
4. Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations;Gudivada;Int. Journal on Advances in Software,2017
5. Exploration in deep reinforcement learning: A survey
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