Optimizing Twin Delayed Deep Deterministic Policy Gradient for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning

Wen Han Hsieh; Jen Yuan Chang

doi:10.1007/978-981-95-1941-5_25

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Optimizing Twin Delayed Deep Deterministic Policy Gradient for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning

Wen Han Hsieh 和 Jen Yuan Chang

Proceedings of the 7th International Conference on Knowledge Innovation and Invention, Volume 2 Proceedings of ICKII 2024, Volume 2, 卷.1482, 頁碼.230-238

2025

DOI: https://doi.org/10.1007/978-981-95-1941-5_25

摘要

EECL

KDTree

Reinforcement Learning

Robotic arm grasping

TD3

指標

1 檢視次數

詳細資料

題名: Optimizing Twin Delayed Deep Deterministic Policy Gradient for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning
創作者：: Wen Han Hsieh - National Tsing Hua University
Jen Yuan Chang - National Tsing Hua University
總頁數: 9
補助款備註: National Tsing Hua University (http://data.elsevier.com/vocabulary/SciValFunders/501100005057)
學術資源類型: 會議論文集
出版日期: 2025
出版資訊: Proceedings of the 7th International Conference on Knowledge Innovation and Invention, Volume 2 Proceedings of ICKII 2024, Volume 2, 卷.1482, 頁碼.230-238
語言: 英語

Optimizing Twin Delayed Deep Deterministic Policy Gradient for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning

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