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Field Robot Self-Exploration Based on Deep Reinforcement Learning and Safety Control Mechanism

2024-04-18

Abstract excerpt

This paper aims to address the issues that arise when using deep reinforcement learning algorithms for reactive robotic navigation in farmland environments. These challenges include complex network models, a large number of parameters, significant computational requirements, and the possibility of being vulnerable to local optimal solutions. Moreover, the complexity of the farmland environment poses a challenge to...

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Literature Corpus work
e5edac85-9aee-579e-a531-3789b9bee37c
DOI
10.21203/rs.3.rs-4254664/v1
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Field Robot Self-Exploration Based on Deep Reinforcement Learning and Safety Control MechanismDOI 10.21203/rs.3.rs-4254664/v1
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