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通过自动驾驶的决策转换器进行深度强化学习导航

Lun Ge1, Xiaoguang Zhou1, Yongqiang Li2

  • 1School of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing, China.

Frontiers in neurorobotics
|April 3, 2024
PubMed
概括

本研究介绍了通过自动驾驶汽车的决策转换器 (DRLNDT) 算法进行深度强化学习导航. DRLNDT通过使用变压器网络和变异自动编码器,在部分可观测的环境中增强决策.

关键词:
部分可观察的马尔科夫决策过程 (POMDPs)软演员 - 批评 (SAC) 软演员-批评自动驾驶自动驾驶的自动驾驶.深度强化学习 (DRL) 是一种深度强化学习.多模态状态空间多模态状态空间变化自编码器 (VAE) 的变化自编码器

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