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Search: "[ keyword: Reinforcement Learning ]" (17)
A Reinforcement Learning Approach to Collaborative Filtering Considering Time-sequence of Ratings
Jung Kyu Lee , Byong Hwa Oh , Ji Hoon Yang The KIPS Transactions:PartB ,
Vol. 19, No. 1, pp. 31-36,
Feb.
2012
10.3745/KIPSTB.2012.19.1.31

Reinforcement Post-Processing and Feedback Algorithm for Optimal Combination in Bottom-Up Hierarchical Classification
Yun Jeong Choi , Seung Soo Park The KIPS Transactions:PartB ,
Vol. 17, No. 2, pp. 139-148,
Apr.
2010
10.3745/KIPSTB.2010.17.2.139

A Study on Optimization Methods Based on Generative Flow Networks for Airport Resource Allocation Problems
Kim Jun Kyu, Ahn Kwang Mo The Transactions of the Korea Information Processing Society,
Vol. 14, No. 8, pp. 633-642,
Aug.
2025
https://doi.org/10.3745/TKIPS.2025.14.8.633
Keywords: Airport operations, Gate assignment, combinatorial optimization, Generative Flow Network, MILP, Reinforcement Learning

Keywords: Airport operations, Gate assignment, combinatorial optimization, Generative Flow Network, MILP, Reinforcement Learning
Intelligent NPC AI Based on FSM and Reinforcement Learning: Implementation Study of A 2D Mobile Idle RPG Game
Dongju Kim, Seok-Joo Koh The Transactions of the Korea Information Processing Society,
Vol. 14, No. 6, pp. 480-488,
Jun.
2025
https://doi.org/10.3745/TKIPS.2025.14.6.480
Keywords: Idle RPG, NPC AI, Finite state machine, Reinforcement Learning, Combat System Optimization

Keywords: Idle RPG, NPC AI, Finite state machine, Reinforcement Learning, Combat System Optimization
Unlicensed Band Traffic and Fairness Maximization Approach Based on Rate-Splitting Multiple Access
Jeon Zang Woo, Kim Sung Wook KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 10, pp. 299-308,
Oct.
2023
https://doi.org/10.3745/KTCCS.2023.12.10.299
Keywords: 5G network, Rate Splitting Multiple Access, unlicensed band, game theory, Bargaining Solution, Reinforcement Learning

Keywords: 5G network, Rate Splitting Multiple Access, unlicensed band, game theory, Bargaining Solution, Reinforcement Learning
An Implementation of Intelligent Game Characters using Neural Networks
Byeong Heon Cho , Sung Hoon Jung , Yeong Rak Seong , Ha Ryoung Oh The KIPS Transactions:PartB ,
Vol. 11, No. 7, pp. 831-840,
Dec.
2004
10.3745/KIPSTB.2004.11.7.831

Transfer Learning Technique for Accelerating Learning of Reinforcement Learning-Based Horizontal Pod Autoscaling Policy
Yonghyeon Jang, Heonchang Yu, SungSuk Kim KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 4, pp. 105-112,
Apr.
2022
https://doi.org/10.3745/KTCCS.2022.11.4.105
Keywords: Kubernetes, Reinforcement Learning, Autoscaling

Keywords: Kubernetes, Reinforcement Learning, Autoscaling
Task Migration in Cooperative Vehicular Edge Computing
Sungwon Moon, Yujin Lim KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 12, pp. 311-318,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.311
Keywords: Task Migration, Vehicular Edge Computing, Reinforcement Learning, DQN

Keywords: Task Migration, Vehicular Edge Computing, Reinforcement Learning, DQN
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

Keywords: Reinforcement Learning, Q-learning, Ad-Hoc Sensornetwork, energy consumption
A study on environmental adaptation and expansion of intelligent agent
Baeg Hye Jeong , Park Yeong Taeg The KIPS Transactions:PartB ,
Vol. 10, No. 7, pp. 795-802,
Dec.
2003
10.3745/KIPSTB.2003.10.7.795
