FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems
Finding optimal solutions to Partially Observable Markov Decision Problems is known to be NP-hard. This paper describes a novel neuro-fuzzy approach to obtain fast, robust and easily interpreted solutions by utilizing a combination of several learning techniques including neural networks, fuzzy deci...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2008-11-01
|
| Series: | International Journal of Advanced Robotic Systems |
| Subjects: | |
| Online Access: | http://www.intechopen.com/articles/show/title/fdms_with_q-learning__a_neuro-fuzzy_approach_to_partially_observable_markov_decision_problems |
| _version_ | 1818272993975992320 |
|---|---|
| author | Levent Akin Toygar Karadeniz |
| author_facet | Levent Akin Toygar Karadeniz |
| author_sort | Levent Akin |
| collection | DOAJ |
| description | Finding optimal solutions to Partially Observable Markov Decision Problems is known to be NP-hard. This paper describes a novel neuro-fuzzy approach to obtain fast, robust and easily interpreted solutions by utilizing a combination of several learning techniques including neural networks, fuzzy decision making and Q-learning. |
| first_indexed | 2024-12-12T21:50:54Z |
| format | Article |
| id | doaj.art-bf18bd74e45a4d92b8c5c14fd13a65ff |
| institution | Directory Open Access Journal |
| issn | 1729-8806 1729-8814 |
| language | English |
| last_indexed | 2024-12-12T21:50:54Z |
| publishDate | 2008-11-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-bf18bd74e45a4d92b8c5c14fd13a65ff2022-12-22T00:10:48ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142008-11-0114FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision ProblemsLevent AkinToygar KaradenizFinding optimal solutions to Partially Observable Markov Decision Problems is known to be NP-hard. This paper describes a novel neuro-fuzzy approach to obtain fast, robust and easily interpreted solutions by utilizing a combination of several learning techniques including neural networks, fuzzy decision making and Q-learning.http://www.intechopen.com/articles/show/title/fdms_with_q-learning__a_neuro-fuzzy_approach_to_partially_observable_markov_decision_problemsPOMDPneuro-fuuzyrule-based systems |
| spellingShingle | Levent Akin Toygar Karadeniz FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems International Journal of Advanced Robotic Systems POMDP neuro-fuuzy rule-based systems |
| title | FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems |
| title_full | FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems |
| title_fullStr | FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems |
| title_full_unstemmed | FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems |
| title_short | FDMS with Q-Learning: A Neuro-Fuzzy Approach to Partially Observable Markov Decision Problems |
| title_sort | fdms with q learning a neuro fuzzy approach to partially observable markov decision problems |
| topic | POMDP neuro-fuuzy rule-based systems |
| url | http://www.intechopen.com/articles/show/title/fdms_with_q-learning__a_neuro-fuzzy_approach_to_partially_observable_markov_decision_problems |
| work_keys_str_mv | AT leventakin fdmswithqlearninganeurofuzzyapproachtopartiallyobservablemarkovdecisionproblems AT toygarkaradeniz fdmswithqlearninganeurofuzzyapproachtopartiallyobservablemarkovdecisionproblems |