:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Schmucker, Robin, Pachapurkar, Nimish, Bala, Shanmuga, Shah, Miral, Mitchell, Tom
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.00270
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System
by: Schmucker, Robin, et al.
Published: (2024)

TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning
by: Pan, Sitong, et al.
Published: (2025)

AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals
by: Aher, Gati, et al.
Published: (2025)

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
by: Moore, Steven, et al.
Published: (2024)

aiPlato: A Novel AI Tutoring and Step-wise Feedback System for Physics Homework
by: Dange, Atharva, et al.
Published: (2026)

Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
by: Li, Shaoang, et al.
Published: (2025)

Quantile Multi-Armed Bandits with 1-bit Feedback
by: Lau, Ivan, et al.
Published: (2025)

Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
by: Wakayama, Shohei, et al.
Published: (2024)

Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
by: Wakayama, Shohei, et al.
Published: (2023)

Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels
by: Castleman, Blake, et al.
Published: (2024)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
by: Xiong, Guojun, et al.
Published: (2024)

Context Attribution with Multi-Armed Bandit Optimization
by: Pan, Deng, et al.
Published: (2025)

Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed Bandits
by: Patra, Pronoy, et al.
Published: (2026)

Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
by: Zhao, Zhenyu, et al.
Published: (2024)

CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health
by: Yu, Sheng, et al.
Published: (2024)

Contextual Restless Multi-Armed Bandits with Application to Demand Response Decision-Making
by: Chen, Xin, et al.
Published: (2024)

Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback
by: Pokhriyal, Subham, et al.
Published: (2026)

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps
by: Xia, Meng, et al.
Published: (2025)

Multi-Armed Bandits-Based Optimization of Decision Trees
by: Shanto, Hasibul Karim, et al.
Published: (2025)

Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)

Imprecise Multi-Armed Bandits
by: Kosoy, Vanessa
Published: (2024)

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Flickering Multi-Armed Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)

The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory
by: Schmucker, Robin, et al.
Published: (2025)

Large Language Model-Enhanced Multi-Armed Bandits
by: Sun, Jiahang, et al.
Published: (2025)

Integrating Multi-Armed Bandit, Active Learning, and Distributed Computing for Scalable Optimization
by: Hui-Mean, Foo, et al.
Published: (2026)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
by: Kerim, Abdulrahman, et al.
Published: (2024)

Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024)

Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics
by: Soboleva, Anastasiia, et al.
Published: (2025)

Survey: Multi-Armed Bandits Meet Large Language Models
by: Bouneffouf, Djallel, et al.
Published: (2025)

AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit
by: Hoveyda, Mohanna, et al.
Published: (2024)

A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
by: Hu, Xiaoyan, et al.
Published: (2024)

Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility
by: Borchers, Conrad, et al.
Published: (2026)

Access Probability Optimization in RACH: A Multi-Armed Bandits Approach
by: Elmeligy, Ahmed O., et al.
Published: (2025)

On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
by: Ji, Wenlong, et al.
Published: (2025)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)

Rising Multi-Armed Bandits with Known Horizons
by: Song, Seockbean, et al.
Published: (2026)

Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)

Autonomous Drug Design with Multi-Armed Bandits
by: Svensson, Hampus Gummesson, et al.
Published: (2022)