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GBTs excel in supervised learning but are underutilized in reinforcement learning. GBRL framework bridges this gap, offering competitive performance and efficiency in RL tasks with structured features.
https://arxiv.org/abs//2407.08250
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
GBTs excel in supervised learning but are underutilized in reinforcement learning. GBRL framework bridges this gap, offering competitive performance and efficiency in RL tasks with structured features.
https://arxiv.org/abs//2407.08250
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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