Статті в журналах з теми "Improper reinforcement learning"
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Dass, Shuvalaxmi, and Akbar Siami Namin. "Reinforcement Learning for Generating Secure Configurations." Electronics 10, no. 19 (September 30, 2021): 2392. http://dx.doi.org/10.3390/electronics10192392.
Повний текст джерелаZhai, Peng, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, and Dingkang Yang. "Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5431–39. http://dx.doi.org/10.1609/aaai.v36i5.20481.
Повний текст джерелаChen, Ya-Ling, Yan-Rou Cai, and Ming-Yang Cheng. "Vision-Based Robotic Object Grasping—A Deep Reinforcement Learning Approach." Machines 11, no. 2 (February 12, 2023): 275. http://dx.doi.org/10.3390/machines11020275.
Повний текст джерелаHurtado-Gómez, Julián, Juan David Romo, Ricardo Salazar-Cabrera, Álvaro Pachón de la Cruz, and Juan Manuel Madrid Molina. "Traffic Signal Control System Based on Intelligent Transportation System and Reinforcement Learning." Electronics 10, no. 19 (September 28, 2021): 2363. http://dx.doi.org/10.3390/electronics10192363.
Повний текст джерелаZiwei Pan, Ziwei Pan. "Design of Interactive Cultural Brand Marketing System based on Cloud Service Platform." 網際網路技術學刊 23, no. 2 (March 2022): 321–34. http://dx.doi.org/10.53106/160792642022032302012.
Повний текст джерелаKim, Byeongjun, Gunam Kwon, Chaneun Park, and Nam Kyu Kwon. "The Task Decomposition and Dedicated Reward-System-Based Reinforcement Learning Algorithm for Pick-and-Place." Biomimetics 8, no. 2 (June 6, 2023): 240. http://dx.doi.org/10.3390/biomimetics8020240.
Повний текст джерелаRitonga, Mahyudin, and Fitria Sartika. "Muyûl al-Talâmidh fî Tadrîs al-Qirâ’ah." Jurnal Alfazuna : Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban 6, no. 1 (December 21, 2021): 36–52. http://dx.doi.org/10.15642/alfazuna.v6i1.1715.
Повний текст джерелаLikas, Aristidis. "A Reinforcement Learning Approach to Online Clustering." Neural Computation 11, no. 8 (November 1, 1999): 1915–32. http://dx.doi.org/10.1162/089976699300016025.
Повний текст джерелаYing-Ming Shi, Ying-Ming Shi, and Zhiyuan Zhang Ying-Ming Shi. "Research on Path Planning Strategy of Rescue Robot Based on Reinforcement Learning." 電腦學刊 33, no. 3 (June 2022): 187–94. http://dx.doi.org/10.53106/199115992022063303015.
Повний текст джерелаSantos, John Paul E., Joseph A. Villarama, Joseph P. Adsuara, Jordan F. Gundran, Aileen G. De Guzman, and Evelyn M. Ben. "Students’ Time Management, Academic Procrastination, and Performance during Online Science and Mathematics Classes." International Journal of Learning, Teaching and Educational Research 21, no. 12 (December 30, 2022): 142–61. http://dx.doi.org/10.26803/ijlter.21.12.8.
Повний текст джерелаMinghai Yuan, Minghai Yuan, Chenxi Zhang Minghai Yuan, Kaiwen Zhou Chenxi Zhang, and Fengque Pei Kaiwen Zhou. "Real-time Allocation of Shared Parking Spaces Based on Deep Reinforcement Learning." 網際網路技術學刊 24, no. 1 (January 2023): 035–43. http://dx.doi.org/10.53106/160792642023012401004.
Повний текст джерелаWest, Joseph, Frederic Maire, Cameron Browne, and Simon Denman. "Improved reinforcement learning with curriculum." Expert Systems with Applications 158 (November 2020): 113515. http://dx.doi.org/10.1016/j.eswa.2020.113515.
Повний текст джерелаZini, Floriano, Fabio Le Piane, and Mauro Gaspari. "Adaptive Cognitive Training with Reinforcement Learning." ACM Transactions on Interactive Intelligent Systems 12, no. 1 (March 31, 2022): 1–29. http://dx.doi.org/10.1145/3476777.
Повний текст джерелаChen, Junyan, Yong Wang, Jiangtao Ou, Chengyuan Fan, Xiaoye Lu, Cenhuishan Liao, Xuefeng Huang, and Hongmei Zhang. "ALBRL: Automatic Load-Balancing Architecture Based on Reinforcement Learning in Software-Defined Networking." Wireless Communications and Mobile Computing 2022 (May 2, 2022): 1–17. http://dx.doi.org/10.1155/2022/3866143.
Повний текст джерелаTessler, Chen, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, and Shie Mannor. "Reinforcement Learning for Datacenter Congestion Control." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12615–21. http://dx.doi.org/10.1609/aaai.v36i11.21535.
Повний текст джерелаTessler, Chen, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, and Shie Mannor. "Reinforcement Learning for Datacenter Congestion Control." ACM SIGMETRICS Performance Evaluation Review 49, no. 2 (January 17, 2022): 43–46. http://dx.doi.org/10.1145/3512798.3512815.
Повний текст джерелаLittman, Michael L. "Reinforcement learning improves behaviour from evaluative feedback." Nature 521, no. 7553 (May 2015): 445–51. http://dx.doi.org/10.1038/nature14540.
Повний текст джерелаYen-Wen Chen, Yen-Wen Chen, and Ji-Zheng You Yen-Wen Chen. "Effective Radio Resource Allocation for IoT Random Access by Using Reinforcement Learning." 網際網路技術學刊 23, no. 5 (September 2022): 1069–75. http://dx.doi.org/10.53106/160792642022092305015.
Повний текст джерелаZhao, Yongqi, Zhangdong Wei, and Jing Wen. "Prediction of Soil Heavy Metal Content Based on Deep Reinforcement Learning." Scientific Programming 2022 (April 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/1476565.
Повний текст джерелаMcLaverty, Brian, Robert S. Parker, and Gilles Clermont. "Reinforcement learning algorithm to improve intermittent hemodialysis." Journal of Critical Care 74 (April 2023): 154205. http://dx.doi.org/10.1016/j.jcrc.2022.154205.
Повний текст джерелаLin, Jin. "Path planning based on reinforcement learning." Applied and Computational Engineering 5, no. 1 (June 14, 2023): 853–58. http://dx.doi.org/10.54254/2755-2721/5/20230728.
Повний текст джерелаHuang, Xu, Hong Zhang, and Xiaomeng Zhai. "A Novel Reinforcement Learning Approach for Spark Configuration Parameter Optimization." Sensors 22, no. 15 (August 8, 2022): 5930. http://dx.doi.org/10.3390/s22155930.
Повний текст джерелаIssa, A., and A. Aldair. "Learning the Quadruped Robot by Reinforcement Learning (RL)." Iraqi Journal for Electrical and Electronic Engineering 18, no. 2 (October 6, 2022): 117–26. http://dx.doi.org/10.37917/ijeee.18.2.15.
Повний текст джерелаZhao, Yuxin, Yanlong Liu, and Xiong Deng. "Optimization of a Regional Marine Environment Mobile Observation Network Based on Deep Reinforcement Learning." Journal of Marine Science and Engineering 11, no. 1 (January 12, 2023): 208. http://dx.doi.org/10.3390/jmse11010208.
Повний текст джерелаLecarpentier, Erwan, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, and Michael L. Littman. "Lipschitz Lifelong Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 8270–78. http://dx.doi.org/10.1609/aaai.v35i9.17006.
Повний текст джерелаLiu, Yu, and Ning Zhou. "Jumping Action Recognition for Figure Skating Video in IoT Using Improved Deep Reinforcement Learning." Information Technology and Control 52, no. 2 (July 15, 2023): 309–21. http://dx.doi.org/10.5755/j01.itc.52.2.33300.
Повний текст джерелаGonzález-Garduño, Ana V. "Reinforcement Learning for Improved Low Resource Dialogue Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9884–85. http://dx.doi.org/10.1609/aaai.v33i01.33019884.
Повний текст джерелаKuremoto, Takashi, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, and Masanao Obayashi. "An Improved Reinforcement Learning System Using Affective Factors." Robotics 2, no. 3 (July 10, 2013): 149–64. http://dx.doi.org/10.3390/robotics2030149.
Повний текст джерелаLuo, Teng. "Improved reinforcement learning algorithm for mobile robot path planning." ITM Web of Conferences 47 (2022): 02030. http://dx.doi.org/10.1051/itmconf/20224702030.
Повний текст джерелаWu, Yukun, Xuncheng Wu, Siyuan Qiu, and Wenbin Xiang. "A Method for High-Value Driving Demonstration Data Generation Based on One-Dimensional Deep Convolutional Generative Adversarial Networks." Electronics 11, no. 21 (October 31, 2022): 3553. http://dx.doi.org/10.3390/electronics11213553.
Повний текст джерелаMaree, Charl, and Christian W. Omlin. "Can Interpretable Reinforcement Learning Manage Prosperity Your Way?" AI 3, no. 2 (June 13, 2022): 526–37. http://dx.doi.org/10.3390/ai3020030.
Повний текст джерелаFang, Qiang, Wenzhuo Zhang, and Xitong Wang. "Visual Navigation Using Inverse Reinforcement Learning and an Extreme Learning Machine." Electronics 10, no. 16 (August 18, 2021): 1997. http://dx.doi.org/10.3390/electronics10161997.
Повний текст джерелаOmidshafiei, Shayegan, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, and Jonathan P. How. "Learning to Teach in Cooperative Multiagent Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6128–36. http://dx.doi.org/10.1609/aaai.v33i01.33016128.
Повний текст джерелаMa, Guoqing, Zhifu Wang, Xianfeng Yuan, and Fengyu Zhou. "Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control." Journal of Robotics 2022 (March 4, 2022): 1–14. http://dx.doi.org/10.1155/2022/7169594.
Повний текст джерелаFRIEDRICH, JOHANNES, ROBERT URBANCZIK, and WALTER SENN. "CODE-SPECIFIC LEARNING RULES IMPROVE ACTION SELECTION BY POPULATIONS OF SPIKING NEURONS." International Journal of Neural Systems 24, no. 05 (May 30, 2014): 1450002. http://dx.doi.org/10.1142/s0129065714500026.
Повний текст джерелаRen, Jing, Xishi Huang, and Raymond N. Huang. "Efficient Deep Reinforcement Learning for Optimal Path Planning." Electronics 11, no. 21 (November 7, 2022): 3628. http://dx.doi.org/10.3390/electronics11213628.
Повний текст джерелаBai, Fengshuo, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang, and Bo Xu. "PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 6728–36. http://dx.doi.org/10.1609/aaai.v37i6.25825.
Повний текст джерелаZajdel, Roman. "Epoch-incremental reinforcement learning algorithms." International Journal of Applied Mathematics and Computer Science 23, no. 3 (September 1, 2013): 623–35. http://dx.doi.org/10.2478/amcs-2013-0047.
Повний текст джерелаYu, Ning, Lin Nan, and Tao Ku. "Multipolicy Robot-Following Model Based on Reinforcement Learning." Scientific Programming 2021 (November 8, 2021): 1–8. http://dx.doi.org/10.1155/2021/5692105.
Повний текст джерелаZhou, Minghui. "Multithreshold Microbial Image Segmentation Using Improved Deep Reinforcement Learning." Mathematical Problems in Engineering 2022 (August 23, 2022): 1–11. http://dx.doi.org/10.1155/2022/5096298.
Повний текст джерелаKaddour, N., P. Del Moral, and E. Ikonen. "Improved version of the McMurtry-Fu reinforcement learning scheme." International Journal of Systems Science 34, no. 1 (January 2003): 37–47. http://dx.doi.org/10.1080/0020772031000115560.
Повний текст джерелаShi, Zhen, Keyin Wang, and Jianhui Zhang. "Improved reinforcement learning path planning algorithm integrating prior knowledge." PLOS ONE 18, no. 5 (May 4, 2023): e0284942. http://dx.doi.org/10.1371/journal.pone.0284942.
Повний текст джерелаBéres, András, and Bálint Gyires-Tóth. "Enhancing Visual Domain Randomization with Real Images for Sim-to-Real Transfer." Infocommunications journal 15, no. 1 (2023): 15–25. http://dx.doi.org/10.36244/icj.2023.1.3.
Повний текст джерелаSzepesvári, Csaba, and Michael L. Littman. "A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms." Neural Computation 11, no. 8 (November 1, 1999): 2017–60. http://dx.doi.org/10.1162/089976699300016070.
Повний текст джерелаHuang, Yong, Xin Xu, Yong Li, Xinglong Zhang, Yao Liu, and Xiaochuan Zhang. "Vehicle-Following Control Based on Deep Reinforcement Learning." Applied Sciences 12, no. 20 (October 21, 2022): 10648. http://dx.doi.org/10.3390/app122010648.
Повний текст джерелаJiang, Huawei, Tao Guo, Zhen Yang, and Like Zhao. "Deep reinforcement learning algorithm for solving material emergency dispatching problem." Mathematical Biosciences and Engineering 19, no. 11 (2022): 10864–81. http://dx.doi.org/10.3934/mbe.2022508.
Повний текст джерелаKoga, Marcelo L., Valdinei Freire, and Anna H. R. Costa. "Stochastic Abstract Policies: Generalizing Knowledge to Improve Reinforcement Learning." IEEE Transactions on Cybernetics 45, no. 1 (January 2015): 77–88. http://dx.doi.org/10.1109/tcyb.2014.2319733.
Повний текст джерелаLi, Xiali, Zhengyu Lv, Licheng Wu, Yue Zhao, and Xiaona Xu. "Hybrid Online and Offline Reinforcement Learning for Tibetan Jiu Chess." Complexity 2020 (May 11, 2020): 1–11. http://dx.doi.org/10.1155/2020/4708075.
Повний текст джерелаTantu, Year Rezeki Patricia, and Kirey Eleison Oloi Marina. "Teachers' efforts to improve discipline of elementary school students using positive reinforcement methods in online learning." JURNAL PENDIDIKAN DASAR NUSANTARA 8, no. 2 (January 31, 2023): 288–98. http://dx.doi.org/10.29407/jpdn.v8i2.19118.
Повний текст джерелаHuang, Wenya, Youjin Liu, and Xizheng Zhang. "Hybrid Particle Swarm Optimization Algorithm Based on the Theory of Reinforcement Learning in Psychology." Systems 11, no. 2 (February 6, 2023): 83. http://dx.doi.org/10.3390/systems11020083.
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