Carla P. Gomes

End-to-End Refinement Guided by Pre-trained Prototypical Classifier

2018 · arXiv (Cornell University)

Many real-world tasks involve identifying patterns from data satisfying background or prior knowledge. In domains like materials discovery, due to the flaws and biases in raw experimental data, the identification of X-ray diffraction patterns (XRD) …

Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision

2021 · International Conference on Machine Learning

Low-precision training has become a popular approach to reduce compute requirements, memory footprint, and energy consumption in supervised learning. In contrast, this promising approach has not yet enjoyed similarly widespread adoption within the reinforcement learning …