Hybrid-Neuro Bandit: A Bandit Model for Online Recommendation

Authors

  • Nipun Bansal Delhi Technological University, Delhi - 110 042, India https://orcid.org/0000-0002-3267-0450
  • Manju Bala I.P. College for Women, Delhi University, Delhi - 110 054, India
  • Kapil Sharma Delhi Technological University, Delhi - 110 042, India

DOI:

https://doi.org/10.14429/dsj.74.19846

Keywords:

Explainable AI(XAI), Adaptive neuro-fuzzy inference system, Contextual multi-arm bandit, Personalization, Reinforcement learning

Abstract

 

Contextual multi-arm Bandit (CMAB) is a popular framework for sequential decision-making problems where an agent must repeatedly choose among multiple actions, each with an unknown reward distribution..................

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Published

2024-11-25

How to Cite

Bansal, N., Bala, M., & Sharma, K. (2024). Hybrid-Neuro Bandit: A Bandit Model for Online Recommendation. Defence Science Journal, 74(6), 885–892. https://doi.org/10.14429/dsj.74.19846

Issue

Vol. 74 No. 6 (2024)

Section

Computers & Systems Studies

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