Home ›
Entities
› academia
› A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation
A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation
Research article (Transportation Research Part E Logistics and Transportation Review, 2024) · cited 11× · AI/ML
A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation
Summary
A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation is a scholarly article[1].
Key Facts
A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation'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). A multi-objective reinforcement learning-based velocity optimization approach for electric trucks considering battery degradation mitigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-objective-reinforcement-learning-based-velocity-optimization-approach-for-electric-trucks-considering-battery-de