Alexander Bukharin

Deep Reinforcement Learning from Hierarchical Preference Design

Adversarial Training of Reward Models

HelpSteer2-Preference: Complementing Ratings with Preferences

Robust Reinforcement Learning from Corrupted Human Feedback

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Deep Reinforcement Learning from Weak Hierarchical Preference Feedback