Multi-Agent Continual Deep Reinforcement Learning with Artificial Potential Fields and Switching Control for a Cooperative Robotic Task
Crossref DOI link: https://doi.org/10.1007/s10846-026-02360-6
Published Online: 2026-01-31
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tan, Wenbo
Lv, Qiang
Li, XiangQing
Sun, Na
Huang, Na
Text and Data Mining valid from 2026-01-31
Version of Record valid from 2026-02-11
Article History
Received: 24 October 2025
Accepted: 19 January 2026
First Online: 31 January 2026
Declarations
:
: The authors declare no competing interests.