2 papers
cs.LG2026
Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback
Qiang Liu, Adrienne Kline, Ermin Wei
Safe Reinforcement Learning from Human Feedback (Safe RLHF) has recently achieved empirical success in developing helpful and harmless large language models by decoupling human pre…
cs.LG2023
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
Chinmay Rane, Kanishka Tyagi, Michael Manry
Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge…