Home ›
Entities
› academia
› Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
Research article (Robotics and Computer-Integrated Manufacturing, 2024) · cited 42× · AI/ML
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery
Summary
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery is a scholarly article[1].
Key Facts
Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery. Retrieved May 24, 2026, from https://4ort.xyz/entity/partially-observable-deep-reinforcement-learning-for-multi-agent-strategy-optimization-of-human-robot-collaborative-disa
MLA“Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/partially-observable-deep-reinforcement-learning-for-multi-agent-strategy-optimization-of-human-robot-collaborative-disa.
BibTeX@misc{4ortxyz_partially-observable-deep-reinforcement-learning-for-multi-agent-strategy-optimization-of-human-robot-collaborative-disa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery}}, year = {2026}, url = {https://4ort.xyz/entity/partially-observable-deep-reinforcement-learning-for-multi-agent-strategy-optimization-of-human-robot-collaborative-disa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery — https://4ort.xyz/entity/partially-observable-deep-reinforcement-learning-for-multi-agent-strategy-optimization-of-human-robot-collaborative-disa (retrieved 2026-05-24)