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Search: "[ keyword: Reinforcement Learning ]" (14)
    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

    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

    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

    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

    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

    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

    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

    Multagent Control Strategy Using Reinforcement Learning
    Hyong Ill Lee , Byung Cheon Kim The KIPS Transactions:PartB , Vol. 10, No. 3, pp. 249-256, Jun. 2003
    10.3745/KIPSTB.2003.10.3.249