A COLLISION AVOIDANCE METHOD BASED ON DEEP REINFORCEMENT LEARNING

A Collision Avoidance Method Based on Deep Reinforcement Learning

This paper set out to investigate the usefulness of solving collision avoidance problems with the help of deep reinforcement learning in an unknown environment, especially in compact spaces, 110 such as a narrow corridor.This research aims to determine whether a deep reinforcement learning-based collision avoidance method is superior to the traditi

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Comprehensive Assessment and Intervention: Analyzing and Mitigating Light Pollution Level in Different Regions Using the Entropy Weight Method, TOPSIS, and Fuzzy Comprehensive Evaluation Method

Light pollution is wreaking havoc on a global scale, which affects the environment, the rhythms of living things, and even our health and safety.In order to calculate the light pollution level in different Bangers regions, the entropy weight method was used to calculate the weight of light pollution evaluation indicators of eight cities of four typ

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Transcriptome Dynamics in Triticum aestivum Genotypes Associated with Resistance against the Wheat Dwarf Virus

Wheat dwarf virus (WDV) is one of the most important pathogens of cereal crops worldwide.To understand the molecular mechanism of resistance, here we investigated the comparative transcriptome of wheat genotypes with different levels of resistance (Svitava and Fengyou 3) and susceptibility (Akteur) to WDV.We found a significantly higher number of d

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