Pierluca D'Oro and Martin Klissarov
TalkRL: The Reinforcement Learning Podcast
Leveraging Language Models for Reinforcement Learning
The work focuses on leveraging prior knowledge from language models to enable intrinsic motivation in reinforcement learning, aiming to avoid starting from scratch, as it is challenging to do. By utilizing the existing knowledge from language models about various domains, such as artificial intelligence feedback, the approach named Motif seeks to enhance the efficiency of reinforcement learning processes.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
