8 citations · 16 across the 5 of their papers we have counts for
5 papers
NEOLAF, an LLM-powered neural-symbolic cognitive architecture
Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee +8
This paper presents the Never Ending Open Learning Adaptive Framework (NEOLAF), an integrated neural-symbolic cognitive architecture that models and constructs intelligent agents.…
Transferable Student Performance Modeling for Intelligent Tutoring Systems
Robin Schmucker, Tom M. Mitchell
Millions of learners worldwide are now using intelligent tutoring systems (ITSs). At their core, ITSs rely on machine learning algorithms to track each user's changing performance…
Assessing the Performance of Online Students -- New Data, New Approaches, Improved Accuracy
Robin Schmucker, Jingbo Wang, Shijia Hu +1
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance (SP) modeling problem is a c…
Multi-objective Asynchronous Successive Halving
Robin Schmucker, Michele Donini, Muhammad Bilal Zafar +2
Hyperparameter optimization (HPO) is increasingly used to automatically tune the predictive performance (e.g., accuracy) of machine learning models. However, in a plethora of real-…
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
Tree-form sequential decision making (TFSDM) extends classical one-shot decision making by modeling tree-form interactions between an agent and a potentially adversarial environmen…