Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Inverse Reinforcement Learning based on Critical State

Authors
Kao-Shing Hwang, Tien-Yu Cheng, Wei-Cheng Jiang
Corresponding Author
Kao-Shing Hwang
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.109How to use a DOI?
Keywords
Inverse Reinforcement learning, reward function, reward feature.
Abstract

Inverse reinforcement learning is tried to search a reward function based on Markov Decision Process. In the IRL topics, experts produce some good traces to make agents learn and adjust the reward function. But the function is difficult to set in some complicate problems. In this paper, Inverse Reinforcement Learning based on Critical State (IRLCS) is proposed to search a succinct and meaningful reward function. IRLCS select a set of reward indexes from whole state space through comparing the difference between the good and bad demonstrations. According to the simulation results, IRLCS can search a good strategy that is similar to experts.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.109How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kao-Shing Hwang
AU  - Tien-Yu Cheng
AU  - Wei-Cheng Jiang
PY  - 2015/06
DA  - 2015/06
TI  - Inverse Reinforcement Learning based on Critical State
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 771
EP  - 775
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.109
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.109
ID  - Hwang2015/06
ER  -