Using Training Curriculum with Deep Reinforcement Learning. On the Importance of Starting Small
DOI:
https://doi.org/10.15584/eti.2018.2.30Keywords:
deep reinforcement learning, transfer learning, lifelong learning,, curriculum learningAbstract
Reinforcement learning algorithms are being used to solve problems with ever-increasing level of complexity. As a consequence, training process becomes harder and more computationally demanding. Using transfer learning can partially elevate this issue by taking advantage of previ-ously acquired knowledge. In this paper we propose a novel test environment and experimentally evaluate impact of using curriculum with deep Q-learning algorithm.Downloads
Published
2018-06-30
How to Cite
KOZIARSKI, M., KWATER, K., & WOŹNIAK, M. (2018). Using Training Curriculum with Deep Reinforcement Learning. On the Importance of Starting Small. Journal of Education, Technology and Computer Science, 24(2), 220–226. https://doi.org/10.15584/eti.2018.2.30
Issue
Section
SELECTED PROBLEMS OF ADULT EDUCATION
License
Copyright (c) 2018 Journal of Education, Technology and Computer Science
![Creative Commons License](http://i.creativecommons.org/l/by-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.