2.3k citations · 2.3k across the 9 of their papers we have counts for
3 papers · 2 filters
Calibrated Model-Based Deep Reinforcement Learning
Ali Malik, Volodymyr Kuleshov, Jiaming Song +3
Estimates of predictive uncertainty are important for accurate model-based planning and reinforcement learning. However, predictive uncertainties---especially ones derived from mod…
Using Latent Variable Models to Observe Academic Pathways
Nate Gruver, Ali Malik, Brahm Capoor +3
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are…
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
Ali Malik, Mike Wu, Vrinda Vasavada +5
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like computer programming, grap…