Digital Library
Search: "[ keyword: Q-learning ]" (6)
Solving the Gale-Shapley Problem by Ant-Q Learning
Hyun Kim , Tae Choong Chung The KIPS Transactions:PartB ,
Vol. 18, No. 3, pp. 165-172,
Jun.
2011
10.3745/KIPSTB.2011.18.3.165
10.3745/KIPSTB.2011.18.3.165
UAV-MEC Offloading and Migration Decision Algorithm for Load Balancing in Vehicular Edge Computing Network
A Young Shin, Yujin Lim KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 12, pp. 437-444,
Dec.
2022
https://doi.org/10.3745/KTCCS.2022.11.12.437
Keywords: Mobile Edge Computing, offloading, Migration, genetic algorithm, Q-learning
https://doi.org/10.3745/KTCCS.2022.11.12.437
Keywords: Mobile Edge Computing, offloading, Migration, genetic algorithm, Q-learning
Optimization of Stock Trading System based on Multi-Agent Q-Learning Framework
Kim Yu Seob , Lee Jae Won , Lee Jong U The KIPS Transactions:PartB ,
Vol. 11, No. 2, pp. 207-212,
Apr.
2004
10.3745/KIPSTB.2004.11.2.207
10.3745/KIPSTB.2004.11.2.207
Equal Energy Consumption Routing Protocol Algorithm Based on Q-Learning for Extending the Lifespan of Ad-Hoc Sensor Network
Kim Ki Sang, Kim Sung Wook KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 10, pp. 269-276,
Oct.
2021
https://doi.org/10.3745/KTCCS.2021.10.10.269
Keywords: Reinforcement Learning, Q-learning, Ad-Hoc Sensornetwork, energy consumption
https://doi.org/10.3745/KTCCS.2021.10.10.269
Keywords: Reinforcement Learning, Q-learning, Ad-Hoc Sensornetwork, energy consumption
Function Approximation for Reinforcement Learning using Fuzzy Clustering
Lee Yeong A , Jeong Gyeong Sug , Jeong Tae Chung The KIPS Transactions:PartB ,
Vol. 10, No. 6, pp. 587-592,
Oct.
2003
10.3745/KIPSTB.2003.10.6.587
10.3745/KIPSTB.2003.10.6.587
Max-Mean N-step Temporal-Difference Learning Using Multi-Step Return
Gyu-Young Hwang, Ju-Bong Kim, Joo-Seong Heo, Youn-Hee Han KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 5, pp. 155-162,
May.
2021
https://doi.org/10.3745/KTCCS.2021.10.5.155
Keywords: Reinforcement Learning, Q-learning, DQN, n-step Temporal-Difference Learning
https://doi.org/10.3745/KTCCS.2021.10.5.155
Keywords: Reinforcement Learning, Q-learning, DQN, n-step Temporal-Difference Learning