Improving agent performance in fluid environments by perceptual pretraining

Fuente: arXiv
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Main Authors: Zhang, Jin, Xue, Jianyang, Cao, Bochao
Format: Preprint
Published: 2024
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author Zhang, Jin
Xue, Jianyang
Cao, Bochao
author_facet Zhang, Jin
Xue, Jianyang
Cao, Bochao
contents In this paper, we construct a pretraining framework for fluid environment perception, which includes an information compression model and the corresponding pretraining method. We test this framework in a two-cylinder problem through numerical simulation. The results show that after unsupervised pretraining with this framework, the intelligent agent can acquire key features of surrounding fluid environment, thereby adapting more quickly and effectively to subsequent multi-scenario tasks. In our research, these tasks include perceiving the position of the upstream obstacle and actively avoiding shedding vortices in the flow field to achieve drag reduction. Better performance of the pretrained agent is discussed in the sensitivity analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2409_03230
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Improving agent performance in fluid environments by perceptual pretraining
Zhang, Jin
Xue, Jianyang
Cao, Bochao
Robotics
Fluid Dynamics
In this paper, we construct a pretraining framework for fluid environment perception, which includes an information compression model and the corresponding pretraining method. We test this framework in a two-cylinder problem through numerical simulation. The results show that after unsupervised pretraining with this framework, the intelligent agent can acquire key features of surrounding fluid environment, thereby adapting more quickly and effectively to subsequent multi-scenario tasks. In our research, these tasks include perceiving the position of the upstream obstacle and actively avoiding shedding vortices in the flow field to achieve drag reduction. Better performance of the pretrained agent is discussed in the sensitivity analysis.
title Improving agent performance in fluid environments by perceptual pretraining
topic Robotics
Fluid Dynamics
url https://arxiv.org/abs/2409.03230