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2020 – today
- 2025
[j107]Haobin Shi
, Ziming He, Kao-Shing Hwang:
Domain adaptation with temporal ensembling to local attention region search for object detection. Knowl. Based Syst. 309: 112846 (2025)- [j106]Ziming He, Pengyu Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang:
Robotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition. IEEE Trans. Ind. Informatics 21(1): 902-911 (2025) - [j105]Jingchen Li, Haobin Shi, Wenbai Chen, Naijun Liu, Kao-Shing Hwang:
Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images. IEEE Trans. Neural Networks Learn. Syst. 36(1): 237-248 (2025) - 2024
- [j104]Xuesi Li, Jingchen Li, Haobin Shi, Kao-Shing Hwang:
A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 16(2): 640-649 (2024) - [j103]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Using Goal-Conditioned Reinforcement Learning With Deep Imitation to Control Robot Arm in Flexible Flat Cable Assembly Task. IEEE Trans Autom. Sci. Eng. 21(4): 6217-6228 (2024) - [j102]Ziming He, Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang:
DeRL: Coupling Decomposition in Action Space for Reinforcement Learning Task. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 1030-1043 (2024) - [c44]Maxwell Hwang, Kao-Shing Hwang:
Spatial Attention with Fine Temporary Synthesis for Action Recognition. ICCE 2024: 1-6 - [c43]Kao-Shing Hwang, Jin-Ling Lin, Ting-Yin Chen:
Inverse Reinforcement Learning via Variational Attention Bottleneck. IIAI-AAI 2024: 710-711 - 2023
- [j101]Yenming J. Chen, Lung-Chang Lin, Shu-Ting Yang, Kao-Shing Hwang, Chia-Te Liao, Wen-Hsien Ho:
High-Reliability Non-Contact Photoplethysmography Imaging for Newborn Care by a Generative Artificial Intelligence. IEEE Access 11: 90801-90810 (2023) - [j100]Maxwell Hwang, Yucheng Qian, Cai Wu, Wei-Cheng Jiang, Da Wang, Jingsun Wei, Kefeng Ding, Kao-Shing Hwang:
A local region proposals approach to instance segmentation for intestinal polyp detection. Int. J. Mach. Learn. Cybern. 14(5): 1591-1603 (2023) - [j99]Haobin Shi, Jingchen Li, Jiahui Mao, Kao-Shing Hwang:
Lateral Transfer Learning for Multiagent Reinforcement Learning. IEEE Trans. Cybern. 53(3): 1699-1711 (2023) - [j98]Haobin Shi, Jingchen Li, Meng Liang, Maxwell Hwang, Kao-Shing Hwang, Yun-Yu Hsu:
Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 529-541 (2023) - 2022
- [j97]Wen-Hsien Ho, Chia-Te Liao, Yenming J. Chen, Kao-Shing Hwang, Yanyun Tao:
Quickly Convert Photoplethysmography to Electrocardiogram Signals by a Banded Kernel Ensemble Learning Method for Heart Diseases Detection. IEEE Access 10: 51079-51092 (2022) - [j96]Lixiang Zhang, Jingchen Li, Yi'an Zhu, Haobin Shi, Kao-Shing Hwang:
Multi-agent reinforcement learning by the actor-critic model with an attention interface. Neurocomputing 471: 275-284 (2022) - [j95]Haobin Shi, Jingchen Li, Shicong Chen, Kao-Shing Hwang:
A behavior fusion method based on inverse reinforcement learning. Inf. Sci. 609: 429-444 (2022) - [j94]Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang:
A collaboration of multi-agent model using an interactive interface. Inf. Sci. 611: 349-363 (2022) - [j93]Wenbai Chen, Jingchen Li, Haobin Shi, Kao-Shing Hwang:
An adaptive multi-sensor visual attention model. Neural Comput. Appl. 34(9): 7241-7252 (2022) - [j92]Wei Pan, Nanding Wang, Chenxi Xu, Kao-Shing Hwang:
A Dynamically Adaptive Approach to Reducing Strategic Interference for Multiagent Systems. IEEE Trans. Cogn. Dev. Syst. 14(4): 1486-1495 (2022) - [j91]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Fuzzy Syst. 30(12): 5211-5224 (2022) - [i1]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning. CoRR abs/2202.10612 (2022) - 2021
- [j90]Cai Wu, Maxwell Hwang, Tian-Hsiang Huang, Yenming J. Chen, Yiu-Jen Chang, Tsung-Han Ho, Jian Huang, Kao-Shing Hwang, Wen-Hsien Ho:
Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation. BMC Bioinform. 22-S(5): 93 (2021) - [j89]Da Wang, Maxwell Hwang, Wei-Cheng Jiang, Kefeng Ding, Hsiao Chien Chang, Kao-Shing Hwang:
A deep learning method for counting white blood cells in bone marrow images. BMC Bioinform. 22-S(5): 94 (2021) - [j88]Wenbai Chen, Haobin Shi, Jingchen Li, Kao-Shing Hwang:
A Fuzzy Curiosity-Driven Mechanism for Multi-Agent Reinforcement Learning. Int. J. Fuzzy Syst. 23(5): 1222-1233 (2021) - [j87]Lixiong Leng, Jingchen Li, Jinhui Zhu, Kao-Shing Hwang, Haobin Shi:
Multi-Agent Reward-Iteration Fuzzy Q-Learning. Int. J. Fuzzy Syst. 23(6): 1669-1679 (2021) - [j86]Chen-Sen Ouyang, Yenming J. Chen, Jinn-Tsong Tsai, Yiu-Jen Chang, Tian-Hsiang Huang, Kao-Shing Hwang, Yuan-Chih Ho, Wen-Hsien Ho:
Data mining analysis of the influences of electrocardiogram P-wave morphology parameters on atrial fibrillation. J. Intell. Fuzzy Syst. 40(4): 7901-7908 (2021) - [j85]Haobin Shi, Meng Liang, Kao-Shing Hwang, Wei-Zheng Wang:
A Collision Detection Method for Robot Manipulators Modeled by Ellipse. J. Inf. Sci. Eng. 37(6): 1363-1377 (2021) - [j84]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
An explainable ensemble feedforward method with Gaussian convolutional filter. Knowl. Based Syst. 225: 107103 (2021) - [j83]Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Kao-Shing Hwang, Yi-Chia Tseng:
An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 444-452 (2021) - [j82]Wei-Cheng Jiang, Kao-Shing Hwang, Jin-Ling Lin:
An Experience Replay Method Based on Tree Structure for Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. 9(2): 972-982 (2021) - 2020
- [j81]Maxwell Hwang, Da Wang, Xiang-Xing Kong, Zhanhuai Wang, Jun Li, Wei-Cheng Jiang, Kao-Shing Hwang, Kefeng Ding:
An automated detection system for colonoscopy images using a dual encoder-decoder model. Comput. Medical Imaging Graph. 84: 101763 (2020) - [j80]Maxwell Hwang, Da Wang, Cai Wu, Wei-Cheng Jiang, Xiang-Xing Kong, Kao-Shing Hwang, Kefeng Ding:
A Fuzzy Segmentation Method to Learn Classification of Mitosis. Int. J. Fuzzy Syst. 22(5): 1653-1664 (2020) - [j79]Jin-Ling Lin, Kao-Shing Hwang, Haobin Shi, Wei Pan:
An ensemble method for inverse reinforcement learning. Inf. Sci. 512: 518-532 (2020) - [j78]Tao Zhang, Ying Liu, Maxwell Hwang, Kao-Shing Hwang, Chunyan Ma, Jing Cheng:
An end-to-end inverse reinforcement learning by a boosting approach with relative entropy. Inf. Sci. 520: 1-14 (2020) - [j77]Haobin Shi, Lin Shi, Gang Sun, Kao-Shing Hwang:
Adaptive Image-Based Visual Servoing for Hovering Control of Quad-Rotor. IEEE Trans. Cogn. Dev. Syst. 12(3): 417-426 (2020) - [j76]Yu-Jen Chen, Wei-Cheng Jiang, Ming-Yi Ju, Kao-Shing Hwang:
Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces. IEEE Trans. Cogn. Dev. Syst. 12(3): 474-485 (2020) - [j75]Haobin Shi, Liangjing Zhai, Haibo Wu, Maxwell Hwang, Kao-Shing Hwang, Hsuan-Pei Hsu:
A Multitier Reinforcement Learning Model for a Cooperative Multiagent System. IEEE Trans. Cogn. Dev. Syst. 12(3): 636-644 (2020) - [j74]Haobin Shi, Meng Xu, Kao-Shing Hwang:
A Fuzzy Adaptive Approach to Decoupled Visual Servoing for a Wheeled Mobile Robot. IEEE Trans. Fuzzy Syst. 28(12): 3229-3243 (2020) - [j73]Haobin Shi, Haibo Wu, Chenxi Xu, Jinhui Zhu, Maxwell Hwang, Kao-Shing Hwang:
Adaptive Image-Based Visual Servoing Using Reinforcement Learning With Fuzzy State Coding. IEEE Trans. Fuzzy Syst. 28(12): 3244-3255 (2020) - [j72]Haobin Shi, Lin Shi, Meng Xu, Kao-Shing Hwang:
End-to-End Navigation Strategy With Deep Reinforcement Learning for Mobile Robots. IEEE Trans. Ind. Informatics 16(4): 2393-2402 (2020) - [c42]Jingchen Li, Haobin Shi, Kao-Shing Hwang:
Should Kernels Be Trained in CNN?- a Paradigm of AG-Net. ICSSE 2020: 1-6 - [c41]Maxwell Hwang, Cai Wu, Kao-Shing Hwang, Yong Si Xu, Chien-Hsing Wu:
A Temporal-Spatial Attention Model for Medical Image Detection. MediaEval 2020
2010 – 2019
- 2019
- [j71]Lin Zhang, Yian Zhu, Haobin Shi, Kao-Shing Hwang:
Adaptive Dynamic Programming Approach on Optimal Control for Affinely Pseudo- Linearized Nonlinear System. IEEE Access 7: 75132-75142 (2019) - [j70]Tao Zhang, Ying Liu, Yu-Jen Chen, Kao-Shing Hwang:
Effective Experiences Collection and State Aggregation in Reinforcement Learning. IEEE Access 7: 120917-120928 (2019) - [j69]Wei Pan, RuoPeng Qu, Kao-Shing Hwang, Hung-Shyuan Lin:
An Ensemble Fuzzy Approach for Inverse Reinforcement Learning. Int. J. Fuzzy Syst. 21(1): 95-103 (2019) - [j68]Jin-Tsong Jeng, Chen-Chia Chuang, Wei-Yen Wang, Kao-Shing Hwang:
Editorial Message: Special Issue on Advances in Intelligent Fuzzy Systems. Int. J. Fuzzy Syst. 21(2): 674-675 (2019) - [j67]Maxwell Hwang, Da Wang, Wei-Cheng Jiang, Xiang Pan, Dongliang Fu, Kao-Shing Hwang, Kefeng Ding:
An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders. Int. J. Fuzzy Syst. 21(7): 2091-2101 (2019) - [j66]Haobin Shi, Kao-Shing Hwang, Xuesi Li, Jialin Chen:
A learning approach to image-based visual servoing with a bagging method of velocity calculations. Inf. Sci. 481: 244-257 (2019) - [j65]Haobin Shi, Kao-Shing Hwang, Renyu Zhang, Juting Lai:
Tracking and proximity detection for robotic operations by multiple depth cameras. Inf. Sci. 483: 350-362 (2019) - [j64]Haobin Shi, Jialin Chen, Wei Pan, Kao-Shing Hwang, Yi-Yun Cho:
Collision Avoidance for Redundant Robots in Position-Based Visual Servoing. IEEE Syst. J. 13(3): 3479-3489 (2019) - [j63]Yian Zhu, Lin Zhang, Haobin Shi, Kao-Shing Hwang, Xianchen Shi, Shuyan Luo:
An Adaptive Routing-Forwarding Control Scheme Based on an Intelligent Fuzzy Decision-Making System for Opportunistic Social Networks. Symmetry 11(9): 1095 (2019) - [j62]Haobin Shi, Gang Sun, Yuanpeng Wang, Kao-Shing Hwang:
Adaptive Image-Based Visual Servoing With Temporary Loss of the Visual Signal. IEEE Trans. Ind. Informatics 15(4): 1956-1965 (2019) - [c40]Lin Zhang, Yian Zhu, Haobin Shi, Kao-Shing Hwang:
A Novel Role Assignment Method Based on Genetic Algorithm. ICCT 2019: 1449-1452 - [c39]Kao-Shing Hwang, Jin-Ling Lin:
A Multi-Layer Architecture for Cooperative Multi-Agent Systems. IIAI-AAI 2019: 515-520 - 2018
- [j61]Wei Pan, Mengyang Lyu, Kao-Shing Hwang, Ming-Yi Ju, Haobin Shi:
A Neuro-Fuzzy Visual Servoing Controller for an Articulated Manipulator. IEEE Access 6: 3346-3357 (2018) - [j60]Haobin Shi, Zhiqiang Lin, Kao-Shing Hwang, Shike Yang, Jialin Chen:
An Adaptive Strategy Selection Method With Reinforcement Learning for Robotic Soccer Games. IEEE Access 6: 8376-8386 (2018) - [j59]Haobin Shi, Shike Yang, Kao-Shing Hwang, Jialin Chen, Mengkai Hu, Heng-sheng Zhang:
A Sample Aggregation Approach to Experiences Replay of Dyna-Q Learning. IEEE Access 6: 37173-37184 (2018) - [j58]Haobin Shi, Zhiqiang Lin, Shuge Zhang, Xuesi Li, Kao-Shing Hwang:
An adaptive decision-making method with fuzzy Bayesian reinforcement learning for robot soccer. Inf. Sci. 436-437: 268-281 (2018) - [j57]Haobin Shi, Xuesi Li, Kao-Shing Hwang, Wei Pan, Genjiu Xu:
Decoupled Visual Servoing With Fuzzy Q-Learning. IEEE Trans. Ind. Informatics 14(1): 241-252 (2018) - [j56]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Iris Hwang:
Model Learning for Multistep Backward Prediction in Dyna-Q Learning. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1470-1481 (2018) - [c38]Kao-Shing Hwang, Yi-Yun Cho, Wei-Cheng Jiang:
A Visual Servoing with Collision Avoidance Mechanism for Redundant Manipulators. SMC 2018: 1821-1826 - 2017
- [j55]Jin-Ling Lin, Kao-Shing Hwang:
Balancing and Reconstruction of Segmented Postures for Humanoid Robots in Imitation of Motion. IEEE Access 5: 17534-17542 (2017) - [j54]Yu-Jen Chen, Ming-Yi Ju, Kao-Shing Hwang:
A Virtual Torque-Based Approach to Kinematic Control of Redundant Manipulators. IEEE Trans. Ind. Electron. 64(2): 1728-1736 (2017) - [j53]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Pheromone-Based Planning Strategies in Dyna-Q Learning. IEEE Trans. Ind. Informatics 13(2): 424-435 (2017) - [j52]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Haobin Shi:
Motion Segmentation and Balancing for a Biped Robot's Imitation Learning. IEEE Trans. Ind. Informatics 13(3): 1099-1108 (2017) - [c37]Kao-Shing Hwang, Chi-Wei Hsieh, Wei-Cheng Jiang, Jin-Ling Lin:
A Reinforcement Learning Method with Implicit Critics from a Bystander. ISNN (1) 2017: 363-370 - [c36]Kao-Shing Hwang, Wei-Cheng Jiang:
A shaped-q learning for multi-agents systems. SMC 2017: 2024-2027 - 2016
- [j51]Jin-Ling Lin, Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Gait Balance and Acceleration of a Biped Robot Based on Q-Learning. IEEE Access 4: 2439-2449 (2016) - [j50]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang:
A Schema-Based DNA Algorithm Applicable on Graphics Processing Units. IEEE Access 4: 2498-2506 (2016) - [j49]Kao-Shing Hwang, Jin-Ling Lin, Haobin Shi, Yu-Ying Chen:
Policy Learning with Human Reinforcement. Int. J. Fuzzy Syst. 18(4): 618-629 (2016) - [j48]Kao-Shing Hwang, Jin-Ling Lin, Jhe-Syun Li:
Biped Balance Control by Reinforcement Learning. J. Inf. Sci. Eng. 32(4): 1041-1060 (2016) - [c35]Kao-Shing Hwang, Hsuan-yi Chiang, Wei-Cheng Jiang:
Adaboost-like method for inverse reinforcement learning. FUZZ-IEEE 2016: 1922-1925 - [c34]Kao-Shing Hwang, Wei-Cheng Jiang, Yi-Chia Tseng:
An unified approach to inverse reinforcement learning by oppositive demonstrations. ICIT 2016: 1664-1668 - 2015
- [j47]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning. IEEE Trans. Cybern. 45(5): 964-976 (2015) - [j46]Kao-Shing Hwang, Jin-Ling Lin, Keng-Hao Yeh:
Learning to Adjust and Refine Gait Patterns for a Biped Robot. IEEE Trans. Syst. Man Cybern. Syst. 45(12): 1481-1490 (2015) - [c33]Chun-Kai Cheng, Jinn-Tsong Tsai, Tsu-Tian Lee, Jyh-Horng Chou, Kao-Shing Hwang:
Modeling and optimizing tensile strength and yield point on steel bar by artificial neural network with evolutionary algorithm. CASE 2015: 1562-1563 - [c32]Kao-Shing Hwang, Tien-Yu Cheng, Wei-Cheng Jiang:
Inverse Reinforcement Learning based on Critical State. IFSA-EUSFLAT 2015 - [c31]Yi-Jia Tseng, Kao-Shing Hwang, Wei-Cheng Jiang, Tsung-Chuan Huang, Song-Shyong Chen:
An Improved Dyna-Q Algorithm Based in Reverse Model Learning. ICSSE 2015: 200-212 - [c30]Kao-Shing Hwang, Ming-Han Chung, Wei-Cheng Jiang:
Image Based Visual Servoing Using Proportional Controller with Compensator. SMC 2015: 347-352 - 2014
- [j45]Jin-Ling Lin, Kao-Shing Hwang, Chien-Yao Huang:
Active and Seamless Handover Control of Multi-Camera Systems With 1-DoF Platforms. IEEE Syst. J. 8(3): 769-777 (2014) - [j44]Jin-Ling Lin, Kao-Shing Hwang, Yu Sheng Hsiao:
A Synchronous Display of Partitioned Images Broadcasting System via VPN Transmission. IEEE Syst. J. 8(4): 1031-1039 (2014) - [j43]Jin-Ling Lin, Kao-Shing Hwang, Ya-Ling Wang:
A Simple Scheme for Formation Control Based on Weighted Behavior Learning. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1033-1044 (2014) - [c29]Kao-Shing Hwang, J. L. Ling, Wei-Han Wang:
Adaptive reinforcement learning in box-pushing robots. CASE 2014: 1182-1187 - [c28]Jyh-Horng Chou, Jinn-Tsong Tsai, Tung-Kuan Liu, Kao-Shing Hwang, Hon-Yi Shi:
Predictive models for 5-year mortality after breast camcer surgery. ICMLC 2014: 13-16 - [c27]Kao-Shing Hwang, J. L. Ling, Yu-Ying Chen, Wei-Han Wang:
Reward shaping for reinforcement learning by emotion expressions. SMC 2014: 1288-1293 - 2013
- [j42]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Adaptive Model Learning Based on Dyna-Q Learning. Cybern. Syst. 44(8): 641-662 (2013) - [j41]Jin-Ling Lin, Kao-Shing Hwang, Hui-Kai Su, Min-Che Hsieh:
Real-Time Seismic Data Acquisition via a Paired Ripple Transmission Protocol. Int. J. Distributed Sens. Networks 9 (2013) - [j40]Yu-Jen Chen, Kao-Shing Hwang, Wei-Cheng Jiang:
Policy sharing between multiple mobile robots using decision trees. Inf. Sci. 234: 112-120 (2013) - [j39]Ming-Hui Cheng, Kao-Shing Hwang, Jyh-Horng Jeng, Nai-Wei Lin:
Classification-based video super-resolution using artificial neural networks. Signal Process. 93(9): 2612-2625 (2013) - [j38]Kao-Shing Hwang, Chia-Yue Lo:
Policy Improvement by a Model-Free Dyna Architecture. IEEE Trans. Neural Networks Learn. Syst. 24(5): 776-788 (2013) - [j37]Ming-Hui Cheng, Kao-Shing Hwang, Jyh-Horng Jeng, Nai-Wei Lin:
PSO-based Fusion Method for Video Super-Resolution. J. Signal Process. Syst. 73(1): 25-42 (2013) - [c26]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Wei-Han Wang:
Model-Based Indirect Learning Method Based on Dyna-Q Architecture. SMC 2013: 2540-2544 - 2012
- [j36]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Hong Lin, Li-Hsin Lai:
Continuous Q-Learning for Multi-Agent Cooperation. Cybern. Syst. 43(3): 227-256 (2012) - [j35]Jin-Ling Lin, Kao-Shing Hwang, Hui-Ling Huang:
Variable patrol Planning of Multi-Robot Systems by a Cooperative Auction System. Cybern. Syst. 43(6): 476-492 (2012) - [j34]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang, Tsung-Wen Yang:
Induced states in a decision tree constructed by Q-learning. Inf. Sci. 213: 39-49 (2012) - [j33]Kao-Shing Hwang, Yu-Jen Chen, Chun-Ju Wu:
Fusion of Multiple Behaviors Using Layered Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part A 42(4): 999-1004 (2012) - [c25]Ming-Hui Cheng, Nai-Wei Lin, Kao-Shing Hwang, Jyh-Horng Jeng:
Fast video super-resolution using artificial neural networks. CSNDSP 2012: 1-4 - [c24]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang:
Adaptive state aggregation for reinforcement learning. SMC 2012: 2452-2456 - 2011
- [j32]Kao-Shing Hwang, Hsin-Yi Lin, Yuan-Pao Hsu, Hung-Hsiu Yu:
Self-organizing state aggregation for architecture design of Q-learning. Inf. Sci. 181(13): 2813-2822 (2011) - [j31]Kao-Shing Hwang, Wen-Hsu Hsiao, Gaung-Ting Shing, Kim-Joan Chen:
Rapid Prototyping Platform for Robotics Applications. IEEE Trans. Educ. 54(2): 236-246 (2011) - [c23]Kao-Shing Hwang, Jin-Ling Lin, Hui-Ling Huang:
Dynamic Patrol Planning in a Cooperative Multi-robot System. FIRA 2011: 116-123 - [c22]Ching-Chih Tsai, Chi-Tai Lee, Kao-Shing Hwang:
Intelligent adaptive trajectory tracking control using fuzzy basis function networks for an autonomous small-scale helicopter. SMC 2011: 2255-2260 - 2010
- [c21]Kao-Shing Hwang, Yu-Jen Chen:
An adaptive state aggregation approach to Q-learning with real-valued action function. SMC 2010: 164-170 - [c20]Kao-Shing Hwang, Chia-Yue Lo:
Dyna-like reinforcement learning based on accumulative and average rewards. SMC 2010: 1250-1254
2000 – 2009
- 2009
- [j30]Kao-Shing Hwang, Chia-Ju Lin, Chia-Yue Lo:
Cooperative Learning by Policy-Sharing in Multiple Agents. Cybern. Syst. 40(4): 286-309 (2009) - [j29]Kao-Shing Hwang, Chia-Yue Lo, Wen-Long Liu:
A Modular Agent Architecture for an Autonomous Robot. IEEE Trans. Instrum. Meas. 58(8): 2797-2806 (2009) - [c19]Kao-Shing Hwang, Chia-Yue Lo, Kim-Joan Chen:
Real-Valued Q-learning in Multi-agent Cooperation. SMC 2009: 395-400 - [c18]Kao-Shing Hwang, Yu-Jen Chen, Chun-Ju Wu, Cheng-Shong Wu:
Behavioral-Fusion Control Based on Reinforcement Learning. SMC 2009: 401-406 - 2007
- [j28]Kao-Shing Hwang, Yu-Jen Chen, Ching-Huang Lee:
Reinforcement Learning in Strategy Selection for a Coordinated Multirobot System. IEEE Trans. Syst. Man Cybern. Part A 37(6): 1151-1157 (2007) - [c17]Yuan-Pao Hsu, Kao-Shing Hwang, Hsin-Yi Lin:
An ARM-Based Q-Learning Algorithm. ICIC (3) 2007: 11-20 - [c16]Kao-Shing Hwang, Chia-Ju Lin, Chun-Ju Wu, Chia-Yue Lo:
Cooperation Between Multiple Agents Based on Partially Sharing Policy. ICIC (1) 2007: 422-432 - [c15]Cheng-Shong Wu, Ming-Ta Yang, Kao-Shing Hwang:
Fast-handoff schemes for inter-subnet handoffin IEEE 802.11 WLANs for SIP/RTP applications. IWCMC 2007: 146-151 - [c14]Kao-Shing Hwang, Chia-Ju Lin, Chun-Ju Wu, Chia-Yue Lo:
Cooperation in multiple agents based on sharing policy. SMC 2007: 3817-3822 - 2006
- [c13]Kao-Shing Hwang, Yu-Jen Chen, Tzung-Feng Lin:
Q-Learning with FCMAC in Multi-agent Cooperation. ISNN (1) 2006: 599-606 - [c12]Kao-Shing Hwang, Tsung-Wen Yang, Chia-Ju Lin:
Self Organizing Decision Tree Based on Reinforcement Learning and its Application on State Space Partition. SMC 2006: 5088-5093 - 2005
- [j27]Ming-Chang Shaio, Shun-Wen Tan, Kao-Shing Hwang, Cheng-Shong Wu:
A Reinforcement Learning Approach To Congestion Control Of High-Speed Multimedia Networks. Cybern. Syst. 36(2): 181-202 (2005) - [j26]Kao-Shing Hwang, Shun-Wen Tan, Ming-Chang Hsiao, Cheng-Shong Wu:
Cooperative multiagent congestion control for high-speed networks. IEEE Trans. Syst. Man Cybern. Part B 35(2): 255-268 (2005) - [c11]Kao-Shing Hwang, Mingchang Hsiao, Cheng-Shong Wu, Shunwen Tan:
Multi-agent Congestion Control for High-Speed Networks Using Reinforcement Co-learning. ISNN (3) 2005: 379-384 - [c10]Kao-Shing Hwang, Yu-Jen Chen, Ching-Huang Lee, Cheng-Shong Wu:
Reinforcement learning on strategy selection for a cooperative robot system. ROBIO 2005: 381-386 - 2004
- [j25]Kao-Shing Hwang, Yu-Jen Chen, Hai-Chun Hong:
Autonomous Exploring System Based on Ultrasonic Sensory Information. J. Intell. Robotic Syst. 39(3): 307-331 (2004) - [j24]Kao-Shing Hwang, Shun-Wen Tan, Chien-Cheng Chen:
Cooperative strategy based on adaptive Q-learning for robot soccer systems. IEEE Trans. Fuzzy Syst. 12(4): 569-576 (2004) - 2003
- [j23]Kao-Shing Hwang, Ming-Yi Ju, Yu-Jen Chen:
Speed alteration strategy for multijoint robots in co-working environment. IEEE Trans. Ind. Electron. 50(2): 385-393 (2003) - [j22]Kao-Shing Hwang, Shun-Wen Tan, Min-Cheng Tsai:
Reinforcement learning to adaptive control of nonlinear systems. IEEE Trans. Syst. Man Cybern. Part B 33(3): 514-521 (2003) - [c9]Ming-Chang Hsiao, Kao-Shing Hwang, Shun-Wen Tan, Cheng-Shong Wu:
Reinforcement learning congestion controller for multimedia surveillance system. ICRA 2003: 4403-4407 - 2002
- [j21]Kao-Shing Hwang, Yuan-Pao Hsu:
A Self-Improving Fuzzy Cerebellar Model Articulation Controller with Stochastic Action Generation. Cybern. Syst. 33(2): 101-128 (2002) - [j20]Kao-Shing Hwang, Yuan-Pao Hsu, Ching-Shun Lin:
A Fuzzy CMAC Compensator for Sliding Mode Control. Intell. Autom. Soft Comput. 8(3): 273-284 (2002) - [j19]Kao-Shing Hwang, Ming-Yi Ju:
Speed Planning for a Maneuvering Motion. J. Intell. Robotic Syst. 33(1): 25-44 (2002) - [j18]Kao-Shing Hwang, Ming-Yi Ju:
3D Collision-Free Motion Based on Collision Index. J. Intell. Robotic Syst. 33(1): 45-60 (2002) - [j17]Ming-Yi Ju, Jing-Sin Liu, Kao-Shing Hwang:
Real-time Velocity Alteration Strategy for Collision-free Trajectory Planning of Two Articulated Robot Manipulators. J. Intell. Robotic Syst. 33(2): 167-186 (2002) - [j16]Yuan-Pao Hsu, Kao-Shing Hwang, Jinn-Shyan Wang:
An Associative Architecture of CMAC for Mobile Robot Motion Control. J. Inf. Sci. Eng. 18(2): 145-161 (2002) - [j15]Kao-Shing Hwang, Ming-Yi Ju:
A propagating interface model strategy for global trajectory planning among moving obstacles. IEEE Trans. Ind. Electron. 49(6): 1313-1322 (2002) - [c8]Yung-Chien Lin, Kao-Shing Hwang, Feng-Sheng Wang:
Hybrid differential evolution with multiplier updating method for nonlinear constrained optimization problems. IEEE Congress on Evolutionary Computation 2002: 872-877 - 2001
- [j14]Kao-Shing Hwang, Ming-Yi Ju:
Rule Base Refactoring Design for Fuzzy Logic Controllers. Intell. Autom. Soft Comput. 7(4): 221-231 (2001) - [j13]Kao-Shing Hwang, Jeng-Yih Chiou, Yuan-Pao Hsu:
A Self-Organizing Genetic Algorithm With a Eugenic Strategy. J. Inf. Sci. Eng. 17(1): 35-45 (2001) - [j12]Ming-Yi Ju, Jing-Sin Liu, Shen-Po Shiang, Yuh-Ren Chien, Kao-Shing Hwang, Wan-Chi Lee:
Fast and accurate collision detection based on enclosed ellipsoid. Robotica 19(4): 381-394 (2001) - 2000
- [j11]Kao-Shing Hwang, Horng-Jen Chao:
Reinforcement Linearization Control System. Cybern. Syst. 31(1): 115-135 (2000) - [j10]Kao-Shing Hwang, Feng-Cheng Chang, Jeng-Yih Chiou:
A numerical approach to fast evaluation of time-invariant system responses. Int. J. Comput. Math. 73(3): 361-369 (2000) - [j9]Kao-Shing Hwang, Min-Cheng Tsai, Feng-Cheng Chang:
A novel approach to determination of a transition function with repeated eigenvalues constant matrix. Int. J. Comput. Math. 76(2): 139-148 (2000) - [j8]Kao-Shing Hwang, Horng-Jen Chao:
Adaptive reinforcement learning system for linearization control. IEEE Trans. Ind. Electron. 47(5): 1185-1188 (2000) - [c7]Yuan-Bao Hsu, Kao-Shing Hwang, Chien-Yuan Pao, Jinn-Shyan Wang:
A new CMAC neural network architecture and its ASIC realization. ASP-DAC 2000: 481-484 - [c6]Yung-Chien Lin, Kao-Shing Hwang, Feng-Sheng Wang:
Plant scheduling and planning using mixed-integer hybrid differential evolution with multiplier updating. CEC 2000: 593-600
1990 – 1999
- 1999
- [j7]Kao-Shing Hwang, Long-Yeu Chung:
A novel numerical method on the resolution of the time-invariant systems responseResolution of the time-invariant systems response. Int. J. Comput. Math. 71(2): 277-290 (1999) - [j6]Kao-Shing Hwang, Ming-Der Tsai:
On-Line Collision-Avoidance Trajectory Planning of Two Planar Robots Based on Geometric Modeling. J. Inf. Sci. Eng. 15(1): 131-152 (1999) - [j5]Kao-Shing Hwang, Feng-Cheng Chang:
A Numerical Method for Solving Time-Invariant System by Generalized Inverse Vandermonde Matrix. J. Inf. Sci. Eng. 15(2): 321-327 (1999) - [j4]Kao-Shing Hwang, Hung-Jen Chao, Jy-Hsin Lin:
Collision-Avoidance Motion Planning Amidst Multiple Moving Objects. J. Inf. Sci. Eng. 15(5): 715-736 (1999) - [j3]Kao-Shing Hwang, Ming-Yi Ju, Sheng-Ping Hsu:
Polymorphic Autonomous Architecuture for Mobile Robot Navigation. J. Inf. Sci. Eng. 15(5): 737-761 (1999) - [c5]Yung-Chien Lin, Feng-Sheng Wang, Kao-Shing Hwang:
A hybrid method of evolutionary algorithms for mixed-integer nonlinear optimization problems. CEC 1999: 2159-2166 - 1998
- [j2]Kao-Shing Hwang, Ching-Shun Lin:
Smooth trajectory tracking of three-link robot: a self-organizing CMAC approach. IEEE Trans. Syst. Man Cybern. Part B 28(5): 680-692 (1998) - [c4]Jia-Houng Shyu, Alan Liu, Kao-Shing Hwang:
A multi-agent architecture for mobile robot navigation control. ICTAI 1998: 50-57 - [c3]Kao-Shing Hwang, Hung-Jen Chao:
Reinforcement nonlinear control system. SMC 1998: 3781-3786 - 1997
- [j1]Chi-haur Wu, Kao-Shing Hwang, Shih-Lang Chang:
Analysis and implementation of a neuromuscular-like control for robotic compliance. IEEE Trans. Control. Syst. Technol. 5(6): 586-597 (1997) - 1993
- [c2]Chi-haur Wu, S. David Stulberg, John Papaioannou, Hsiang-Yun Huang, Kao-Shing Hwang, Tom Kienzle:
An Integrated CT-Imaging, CAD-Based System for Orthopedic Surgery. ICRA (1) 1993: 895-900 - 1991
- [c1]Chi-haur Wu, Kuu-Young Young, Kao-Shing Hwang:
Analysis of voluntary movements for robotic control. ICRA 1991: 326-331
Coauthor Index
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