Towards a Robust Interactive and Learning Social Robot. - Michiel de Jong; Kevin Zhang 002; Aaron M. Roth; Travers Rhodes; Robin Schmucker; Chenghui Zhou; Sofia Ferreira; João Cartucho; Manuela M. Veloso (AAMAS, 2018)

Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. - Robin Schmucker; Chenghui Zhou; Manuela Veloso (RoboCup, 2018)

Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. - Gabriele Farina; Robin Schmucker; Tuomas Sandholm (AAAI, 2021)

Fair Bayesian Optimization. - Valerio Perrone; Michele Donini; Muhammad Bilal Zafar; Robin Schmucker; Krishnaram Kenthapadi; Cédric Archambeau (AIES, 2021)

Multi-objective Asynchronous Successive Halving. - Robin Schmucker; Michele Donini; Muhammad Bilal Zafar; David Salinas; Cédric Archambeau (CoRR, 2021)

Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. - Robin Schmucker; Jingbo Wang; Shijia Hu; Tom M. Mitchell (CoRR, 2021)

Combination treatment optimization using a pan-cancer pathway model. - Robin Schmucker; Gabriele Farina; James R. Faeder; Fabian Fröhlich; Ali Sinan Saglam; Tuomas Sandholm (PLoS Comput. Biol., 2021)

Transferable Student Performance Modeling for Intelligent Tutoring Systems. - Robin Schmucker; Tom M. Mitchell (ICCE, 2022)

Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. - Robin Schmucker; Nimish Pachapurkar; Bala Shanmugam; Miral Shah; Tom M. Mitchell (EC-TEL, 2023)

KC-Finder: Automated Knowledge Component Discovery for Programming Problems. - Yang Shi 004; Robin Schmucker; Min Chi; Tiffany Barnes; Thomas W. Price (EDM, 2023)

NEOLAF, an LLM-powered neural-symbolic cognitive architecture. - Richard Jiarui Tong; Cassie Chen Cao; Timothy Xueqian Lee; Guodong Zhao; Ray Wan; Feiyue Wang 008; Xiangen Hu; Robin Schmucker; Jinsheng Pan; Julian Quevedo; Yu Lu 003 (CoRR, 2023)

Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (CoRR, 2023)

Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (AIED (1), 2024)

Gaining Insights into Course Difficulty Variations Using Item Response Theory. - Frederik Baucks; Robin Schmucker; Laurenz Wiskott (LAK, 2024)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. - Frederik Baucks; Robin Schmucker; Conrad Borchers; Zachary A. Pardos; Laurenz Wiskott (L@S, 2024)

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. - Steven Moore; Robin Schmucker; Tom M. Mitchell; John C. Stamper (L@S, 2024)

Ruffle&Riley: From Lesson Text to Conversational Tutoring. - Robin Schmucker; Meng Xia 002; Amos Azaria; Tom M. Mitchell (L@S, 2024)

Harnessing Machine Learning and Generative AI: A New Era in Online Tutoring Systems. - Robin Schmucker (XRDS, 2024)

TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning. - Sitong Pan; Robin Schmucker; Bernardo Garcia Bulle Bueno; Salome Aguilar Llanes; Fernanda Albo Alarcón; Hangxiao Zhu; Adam Teo; Meng Xia 002 (CHI, 2025)

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. - Meng Xia 002; Robin Schmucker; Conrad Borchers; Vincent Aleven (EC-TE (1), 2025)

Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? - Aylin Ozturk; Robin Schmucker; Tom M. Mitchell; Alper Tolga Kumtepe (EDM, 2025)

AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals. - Gati Aher; Robin Schmucker; Tom M. Mitchell; Zachary C. Lipton (CoRR, 2025)

The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory. - Robin Schmucker; Steven Moore (CoRR, 2025)

Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring. - Robin Schmucker; Nimish Pachapurkar; Bala Shanmugam; Miral Shah; Tom M. Mitchell (CoRR, 2025)