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pro vyhledávání: '"Wu, Annie"'
In this paper, we introduce an alternative approach to enhancing Multi-Agent Reinforcement Learning (MARL) through the integration of domain knowledge and attention-based policy mechanisms. Our methodology focuses on the incorporation of domain-speci
Externí odkaz:
http://arxiv.org/abs/2404.05840
In this study, we investigate the effectiveness of using the PID (Proportional - Integral - Derivative) control loop factors for modifying response thresholds in a decentralized, non-communicating, threshold-based swarm. Each agent in our swarm has a
Externí odkaz:
http://arxiv.org/abs/2304.12385
We investigate the application of a multi-objective genetic algorithm to the problem of task allocation in a self-organizing, decentralized, threshold-based swarm. Each agent in our system is capable of performing four tasks with a response threshold
Externí odkaz:
http://arxiv.org/abs/2106.06019
Most current work in NLP utilizes deep learning, which requires a lot of training data and computational power. This paper investigates the strengths of Genetic Algorithms (GAs) for extractive summarization, as we hypothesized that GAs could construc
Externí odkaz:
http://arxiv.org/abs/2105.02365
Autor:
Wu, Annie1,2 awu@uh.edu, Davis-Van Atta, Taylor3 tgdavis-vanatta@uh.edu, Scott, Bethany4 bscott3@uh.edu, Thompson, Santi5,6 sathompson3@uh.edu, Washington, Anne7 washinga@oclc.org, Jones, Jerrell8 jjones46@uh.edu, Weidner, Andrew9 andrew.weidner@bc.edu, Ramirez, A. Laura10 alramirez@uh.edu, Smith, Marian11 mrsmith8@uh.edu
Publikováno v:
Information Technology & Libraries. Sep2022, Vol. 41 Issue 3, p1-16. 16p. 2 Color Photographs, 4 Charts.
Akademický článek
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Autor:
Wu, Xiaosheng, Manske, Michelle K., Ruan, Gordon J., Witter, Taylor L., Nowakowski, Kevin E., Abeykoon, Jithma P., Tang, Xinyi, Yu, Yue, Gwin, Kimberly A., Wu, Annie, Taupin, Vanessa, Bhardwaj, Vaishali, Paludo, Jonas, Dasari, Surendra, Dong, Haidong, Ansell, Stephen M., Badley, Andrew D., Schellenberg, Matthew J., Witzig, Thomas E.
Publikováno v:
In iScience 16 June 2023 26(6)
Publikováno v:
In Expert Systems With Applications 15 May 2023 218
Akademický článek
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Autor:
Wu, Annie M (AUTHOR), Pitts, Kristen M (AUTHOR), Pineda, Roberto (AUTHOR), Chen, Sherleen H (AUTHOR), Wang, Mengyu (AUTHOR), Johnson, Grace (AUTHOR), Shen, Lucy Q (AUTHOR), Margeta, Milica A (AUTHOR)
Publikováno v:
Clinical Ophthalmology. Sep2023, Vol. 17, p2803-2814. 12p.