A Comparative Study of Bayesian Contextual Bandits for Real-Time Warehouse Sorter Optimization
cs.LG, cs.SY, eess.SY
Submitted: 2026-06-22
Updated: 2026-06-22
Comments: Accepted at 2026 IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2026)
Journal ref: 2026 IEEE International Conference on Mechatronics and Automation (ICMA), Changchun, Jilin, China, 2026, pp. 1556-1562
DOI: 10.1109/ICMA69663.2026.11647405
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
- Bayesian Reinforcement Learning: A Survey
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