Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly
Crossref DOI link: https://doi.org/10.1007/s10845-024-02527-8
Published Online: 2024-11-28
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Di
Zhao, Jing
Han, Muyue
Li, Lin https://orcid.org/0000-0001-8879-8704
Text and Data Mining valid from 2024-11-28
Version of Record valid from 2024-11-28
Article History
Received: 14 April 2024
Accepted: 4 November 2024
First Online: 28 November 2024
Declarations
:
: The authors declare that they have no potential conflict of interest or financial conflict to disclose.