JICS

Digital Library

Search: "[ keyword: Reinforcement Learning ]" (10)

1. Enhancing Service Availability in Multi-Access Edge Computing with Deep Q-Learning

Lusungu Josh Mwasinga, Syed Muhammad Raza, Duc-Tai Le, Moonseong Kim, Hyunseung Choo, Vol. 24, No. 2, pp. 1-10, Apr. 2023
10.7472/jksii.2023.24.2.1
Keywords: Edge Computing, Service Mobility, Service Availability, Beyond 5G, Deep Reinforcement Learning
2. Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing

Seyha Ros, Prohim Tam, Seokhoon Kim, Vol. 23, No. 5, pp. 17-23, Oct. 2022
10.7472/jksii.2022.23.5.17
Keywords: Deep Reinforcement Learning, Network Slicing, Software-Defined Networking, Network Functions Virtualization, Edge Computing
3. Formal Model of Extended Reinforcement Learning (E-RL) System

Do Yeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 4, pp. 13-28, Aug. 2021
10.7472/jksii.2021.22.4.13
Keywords: Reinforcement Learning (RL), Advanced RL, Formal Model, Design Methods, and Advanced Navigator System
4. Random Balance between Monte Carlo and Temporal Difference in off-policy Reinforcement Learning for Less Sample-Complexity

Chayoung Kim, Seohee Park, Woosik Lee, Vol. 21, No. 5, pp. 1-7, Oct. 2020
10.7472/jksii.2020.21.5.1
Keywords: Deep Q-Network, Temporal Difference, Monte Carlo, Reinforcement Learning, Variation and Bias Balance
5. Variable Selection of Feature Pattern using SVM-based Criterion with Q-Learning in Reinforcement Learning

Chayoung Kim, Vol. 20, No. 4, pp. 21-27, Aug. 2019
10.7472/jksii.2019.20.4.21
Keywords: Support-Vector Machine, RNA sequencing Big-Data, Support Vector Machine-Recursive Feature Elimination, Q-learning, Reinforcement Learning
6. Improvement of Sequential Prediction Algorithm for Player's Action Prediction

Yong-Woo Shin, Tae-Choong Chung, Vol. 11, No. 3, pp. 25-32, Jun. 2010
Keywords: Reinforcement Learning, Game, Learning Speed, action prediction
7. An improvement of the learning speed through Improved Reinforcement Learning on Jul-Gonu Game

Yong-Woo Shin, Tae-Choong Chung, Vol. 10, No. 3, pp. 9-16, Jun. 2009
Keywords: Reinforcement Learning, Jul-Gonu, Gonu, Learning Speed, Game
8. Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game

Yong-Woo Shin, Vol. 10, No. 1, pp. 93-100, Feb. 2009
Keywords: Reinforcement Learning, Artificial intelligence, Board Game, Q Learning
9. A Naive Bayesian-based Model of the Opponent's Policy for Efficient Multiagent Reinforcement Learning

Ki-Duk Kwon, Vol. 9, No. 6, pp. 165-178, Dec. 2008
Keywords: Multiagent, Reinforcement Learning, Naive Bayesian
10. Control of Intelligent Characters using Reinforcement Learning

Yong-Woo Shin, Vol. 8, No. 5, pp. 91-98, Oct. 2007
Keywords: Reinforcement Learning, Game, Game Character, Artificial intelligence, Intelligence