Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space

no code implementations • 29 Nov 2022 • Charlie Ruan

Approximating Martingale Process (AMP) is proven to be effective for variance reduction in reinforcement learning (RL) in specific cases such as Multiclass Queueing Networks.

reinforcement-learning Reinforcement Learning (RL)

Photo Rater: Photographs Auto-Selector with Deep Learning

no code implementations • 26 Nov 2022 • Wentao Guo, Charlie Ruan, Claire Zhou

Photo Rater is a computer vision project that uses neural networks to help photographers select the best photo among those that are taken based on the same scene.

Image Quality Assessment