While numerous approaches have been proposed to solve similar CPP problems, we leverage end-to-end reinforcement learning (RL) to learn a control policy that generalizes over varying power constraints for the UAV. Despite recent improvements in battery technology, the maximum flying range of small ...
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The methods are RL-Sleep (Banerjee et al., 2020), major point classification algorithm, a novel framework for data compression and prediction mechanism. These solutions lack real-world scenario, limited to two adjacent targets and outliers arise because of sudden change is not handled in the ...
Reinforcement learning (RL) has shown remarkable success in navigating complex robotic and gaming landscapes. However, achieving such results often requires a substantial number of interaction episodes between the agent and its environment, especially in scenarios with sparse and long-term rewards. Althoug...
Combining deep learning (DL) with reinforcement learning (RL), complex 3D terrain path planning has achieved better results than before. In recent years, DRL methods have been used in navigation [31, 32] and path planning [33,34,35] applications. In [36], DNN is used for real-time path...
Available from: https://www.scielo.br/j/rlae/a/PdMhv8Gt6q9d7P6jNGHhYQw/?lang=pt# 15. Tsui Jennifer, et al. Exploring the role of neighborhood sociodemo- graphic factors on HPV vaccine initiation among low-income, ethnic minority girls. ...
Society 2638–2645 Church RL, ReVelle CS (1976) Theoretical and computational links between the p-median, location set-covering, and the maximal covering location problem. Geogr Anal 8(4):406–415 Davis PJ (1970) Circulant matrices. Wiley, New York De´se´rable D (1999) A family of ...
U rb a rl S u b u rb a n W ate r Mo unta in S a n d b a r R a i 1w a y Hig hw a y R o a d 口一= 。圈 口口圈 3 2 0 T A B L E I Vegetat ion types and t heir distribution in the study area in N anjing,China ...
Aim: The aim of this experiment is to compare our approach to a recent reinforcement learning (RL) approach to collective motion tuning called CoMoT (Abpeikar et al., 2022). Hypothesis: FLS-SOF will outperform CoMoT in terms of achieving coverage quickly, but CoMoT may produce more optimize...
Although it was necessary to identify haplolethal and haplosterile genes in order to improve deletion coverage, most were poorly mapped and few had been associated with annotated genes when we began our project. Consequently, the process of planning deletion screens was intertwined with the task of...