Pierluca D'Oro and Martin Klissarov
TalkRL: The Reinforcement Learning Podcast
Similarities between Reinforcement Learning and Learning from Preferences
This chapter explores the similarities between reinforcement learning and learning from preferences, focusing on recent work in RLIF and the importance of applying research approaches to different settings. They also discuss the types of captions they are dealing with in their example.
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