3 papers
cs.LG2025
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
Brett Barkley, Preston Culbertson, David Fridovich-Keil
Out-of-distribution (OOD) detection is essential for reliable deployment of machine learning systems in vision, robotics, reinforcement learning, and beyond. We introduce Score-Cur…
cs.LG2024
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
Brett Barkley, David Fridovich-Keil
Dyna-style off-policy model-based reinforcement learning (DMBRL) algorithms are a family of techniques for generating synthetic state transition data and thereby enhancing the samp…
cs.LG2023
An Investigation of Time Reversal Symmetry in Reinforcement Learning
Brett Barkley, Amy Zhang, David Fridovich-Keil
One of the fundamental challenges associated with reinforcement learning (RL) is that collecting sufficient data can be both time-consuming and expensive. In this paper, we formali…