research
∙
07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
share
research
∙
03/02/2023
Active Reward Learning from Multiple Teachers
Reward learning algorithms utilize human feedback to infer a reward func...
research
∙
11/12/2022
The Expertise Problem: Learning from Specialized Feedback
Reinforcement learning from human feedback (RLHF) is a powerful techniqu...
research
∙
01/19/2021
Choice Set Misspecification in Reward Inference
Specifying reward functions for robots that operate in environments with...
research
∙
06/16/2020
Aligning with Heterogeneous Preferences for Kidney Exchange
AI algorithms increasingly make decisions that impact entire groups of h...
research
∙
05/19/2020