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Introducing Reinforced Token Optimization (RTO) framework for Reinforcement Learning from Human Feedback (RLHF) using Markov decision process (MDP) to improve token-wise reward learning and policy optimization.
https://arxiv.org/abs//2404.18922
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
Introducing Reinforced Token Optimization (RTO) framework for Reinforcement Learning from Human Feedback (RLHF) using Markov decision process (MDP) to improve token-wise reward learning and policy optimization.
https://arxiv.org/abs//2404.18922
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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