Adaptive state aggregation for reinforcement learning. - Kao-Shing Hwang; Yu-Jen Chen; Wei-Cheng Jiang (SMC, 2012)

Continuous Q-Learning for Multi-Agent Cooperation. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Hong Lin; Li-Hsin Lai (Cybern. Syst., 2012)

Induced states in a decision tree constructed by Q-learning. - Kao-Shing Hwang; Yu-Jen Chen; Wei-Cheng Jiang; Tsung-Wen Yang (Inf. Sci., 2012)

Model-Based Indirect Learning Method Based on Dyna-Q Architecture. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen; Wei-Han Wang (SMC, 2013)

Adaptive Model Learning Based on Dyna-Q Learning. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen (Cybern. Syst., 2013)

Policy sharing between multiple mobile robots using decision trees. - Yu-Jen Chen; Kao-Shing Hwang; Wei-Cheng Jiang (Inf. Sci., 2013)

A Fast Learning Agent Based on the Dyna Architecture. - Yuan-Pao Hsu; Wei-Cheng Jiang (J. Inf. Sci. Eng., 2014)

Inverse Reinforcement Learning based on Critical State. - Kao-Shing Hwang; Tien-Yu Cheng; Wei-Cheng Jiang (IFSA-EUSFLAT, 2015)

An Improved Dyna-Q Algorithm Based in Reverse Model Learning. - Yi-Jia Tseng; Kao-Shing Hwang; Wei-Cheng Jiang; Tsung-Chuan Huang; Song-Shyong Chen (ICSSE, 2015)

Image Based Visual Servoing Using Proportional Controller with Compensator. - Kao-Shing Hwang; Ming-Han Chung; Wei-Cheng Jiang (SMC, 2015)

Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen (IEEE Trans. Cybern., 2015)

Adaboost-like method for inverse reinforcement learning. - Kao-Shing Hwang; Hsuan-yi Chiang; Wei-Cheng Jiang (FUZZ-IEEE, 2016)

An unified approach to inverse reinforcement learning by oppositive demonstrations. - Kao-Shing Hwang; Wei-Cheng Jiang; Yi-Chia Tseng (ICIT, 2016)

A Schema-Based DNA Algorithm Applicable on Graphics Processing Units. - Kao-Shing Hwang; Yu-Jen Chen; Wei-Cheng Jiang (IEEE Access, 2016)

Gait Balance and Acceleration of a Biped Robot Based on Q-Learning. - Jin-Ling Lin; Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen (IEEE Access, 2016)

A Reinforcement Learning Method with Implicit Critics from a Bystander. - Kao-Shing Hwang; Chi-Wei Hsieh; Wei-Cheng Jiang; Jin-Ling Lin (ISNN (1), 2017)

A shaped-q learning for multi-agents systems. - Kao-Shing Hwang; Wei-Cheng Jiang (SMC, 2017)

Pheromone-Based Planning Strategies in Dyna-Q Learning. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen (IEEE Trans. Ind. Informatics, 2017)

Motion Segmentation and Balancing for a Biped Robot's Imitation Learning. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen; Haobin Shi (IEEE Trans. Ind. Informatics, 2017)

A Visual Servoing with Collision Avoidance Mechanism for Redundant Manipulators. - Kao-Shing Hwang; Yi-Yun Cho; Wei-Cheng Jiang (SMC, 2018)

Model Learning for Multistep Backward Prediction in Dyna-Q Learning. - Kao-Shing Hwang; Wei-Cheng Jiang; Yu-Jen Chen; Iris Hwang (IEEE Trans. Syst. Man Cybern. Syst., 2018)

An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders. - Maxwell Hwang; Da Wang; Wei-Cheng Jiang; Xiang Pan; Dongliang Fu; Kao-Shing Hwang; Kefeng Ding (Int. J. Fuzzy Syst., 2019)

An automated detection system for colonoscopy images using a dual encoder-decoder model. - Maxwell Hwang; Da Wang; Xiang-Xing Kong; Zhanhuai Wang; Jun Li 099; Wei-Cheng Jiang; Kao-Shing Hwang; Kefeng Ding (Comput. Medical Imaging Graph., 2020)

A Fuzzy Segmentation Method to Learn Classification of Mitosis. - Maxwell Hwang; Da Wang; Cai Wu; Wei-Cheng Jiang; Xiang-Xing Kong; Kao-Shing Hwang; Kefeng Ding (Int. J. Fuzzy Syst., 2020)

Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces. - Yu-Jen Chen; Wei-Cheng Jiang; Ming-Yi Ju; Kao-Shing Hwang (IEEE Trans. Cogn. Dev. Syst., 2020)

A deep learning method for counting white blood cells in bone marrow images. - Da Wang; Maxwell Hwang; Wei-Cheng Jiang; Kefeng Ding; Hsiao Chien Chang; Kao-Shing Hwang (BMC Bioinform., 2021)

A fuzzy CMAC learning approach to image based visual servoing system. - Maxwell Hwang; Yu-Jen Chen; Ming-Yi Ju; Wei-Cheng Jiang (Inf. Sci., 2021)

An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning. - Maxwell Hwang; Wei-Cheng Jiang; Yu-Jen Chen; Kao-Shing Hwang; Yi-Chia Tseng (IEEE Trans. Cogn. Dev. Syst., 2021)

Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment. - Wei-Cheng Jiang; Vignesh Narayanan; Jr-Shin Li (IEEE Trans. Cybern., 2021)

An Experience Replay Method Based on Tree Structure for Reinforcement Learning. - Wei-Cheng Jiang; Kao-Shing Hwang; Jin-Ling Lin (IEEE Trans. Emerg. Top. Comput., 2021)

A critical state identification approach to inverse reinforcement learning for autonomous systems. - Maxwell Hwang; Wei-Cheng Jiang; Yu-Jen Chen (Int. J. Mach. Learn. Cybern., 2022)

A sequential attention interface with a dense reward function for mitosis detection. - Maxwell Hwang; Cai Wu; Wei-Cheng Jiang; Wei-Chen Hung (Int. J. Mach. Learn. Cybern., 2022)

A local region proposals approach to instance segmentation for intestinal polyp detection. - Maxwell Hwang; Yucheng Qian; Cai Wu; Wei-Cheng Jiang; Da Wang; Jingsun Wei; Kefeng Ding; Kao-Shing Hwang (Int. J. Mach. Learn. Cybern., 2023)

Reinforcement learning for encouraging cooperation in a multiagent system. - Wei-Cheng Jiang; Hong-Hao Huang; Yu-Teng Wang (Inf. Sci., 2024)

Content-aware malicious webpage detection using convolutional neural network. - Yen-Jen Chang; Kun-Lin Tsai; Wei-Cheng Jiang; Meng-Kun Liu (Multim. Tools Appl., 2024)

Entropy-based tuning approach for Q-learning in an unstructured environment. - Yu-Jen Chen; Wei-Cheng Jiang (Robotics Auton. Syst., 2025)