Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Dyna-Q"'
Publikováno v:
Automation, Vol 5, Iss 2, Pp 151-175 (2024)
In this work, an in-depth investigation into enhancing quadcopter autonomy and control capabilities is presented. The focus lies on the development and implementation of three conventional control strategies to regulate the behavior of quadcopter UAV
Externí odkaz:
https://doaj.org/article/48e9c45dd5454ec0a7c8d636b678fb4d
Publikováno v:
IEEE Access, Vol 12, Pp 142640-142650 (2024)
Task-oriented dialog policy learning is often formulated as a Reinforcement Learning problem whose rewards from the environment are extremely sparse, which means that the agent will often not find the reward by acting randomly. Thus, exploration tech
Externí odkaz:
https://doaj.org/article/c5d2d6d8d96549f6bc9902efa72d1e0b
Publikováno v:
IEEE Access, Vol 12, Pp 46940-46952 (2024)
Training task-oriented dialog agents based on reinforcement learning is time-consuming and requires a large number of interactions with real users. How to grasp dialog policy within limited dialog experiences remains an obstacle that makes the agent
Externí odkaz:
https://doaj.org/article/ce20b18eb08b46bd9cf33b813651fd2b
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-20 (2023)
Abstract The Doppler shift of low-speed targets is frequently disturbed by the reverberation Doppler spread clutter under the shallow sea. The clutter is generated by underwater scatterers, which increases the difficulty of Doppler estimation. To sol
Externí odkaz:
https://doaj.org/article/4c5078eb452a41a2a93d1b1d0f640453
Integral-Valued Pythagorean Fuzzy-Set-Based Dyna Q+ Framework for Task Scheduling in Cloud Computing
Publikováno v:
Sensors, Vol 24, Iss 16, p 5272 (2024)
Task scheduling is a critical challenge in cloud computing systems, greatly impacting their performance. Task scheduling is a nondeterministic polynomial time hard (NP-Hard) problem that complicates the search for nearly optimal solutions. Five major
Externí odkaz:
https://doaj.org/article/dd3192ac487940d6bee95d4df9c74e0d
Autor:
Almira Budiyanto, Nobutomo Matsunaga
Publikováno v:
Automation, Vol 4, Iss 3, Pp 210-231 (2023)
Nowadays, academic research, disaster mitigation, industry, and transportation apply the cooperative multi-agent concept. A cooperative multi-agent system is a multi-agent system that works together to solve problems or maximise utility. The essentia
Externí odkaz:
https://doaj.org/article/20ba367628a94a319b0b3f5e5cba4999
Publikováno v:
Biomimetics, Vol 9, Iss 6, p 315 (2024)
The traditional Model-Based Reinforcement Learning (MBRL) algorithm has high computational cost, poor convergence, and poor performance in robot spatial cognition and navigation tasks, and it cannot fully explain the ability of animals to quickly ada
Externí odkaz:
https://doaj.org/article/715f8ec6d0574fa2a7bacd7cd1049e14
Akademický článek
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Autor:
Bhargavi K., Shiva Sajjan G.
Publikováno v:
Cybernetics and Information Technologies, Vol 22, Iss 3, Pp 48-67 (2022)
Task scheduling is an important activity in parallel and distributed computing environment like grid because the performance depends on it. Task scheduling gets affected by behavioral and primary uncertainties. Behavioral uncertainty arises due to va
Externí odkaz:
https://doaj.org/article/564b8461224f4fcab8e115c7441bec1c
Akademický článek
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