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[QA] Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

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Manage episode 433059796 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The paper presents Optimus-1, a multimodal agent utilizing a Hybrid Multimodal Memory module to enhance long-horizon task performance in Minecraft, outperforming existing agents and achieving near human-level results.

https://arxiv.org/abs//2408.03615

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

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

  continue reading

1356 episodes

Artwork
iconShare
 
Manage episode 433059796 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The paper presents Optimus-1, a multimodal agent utilizing a Hybrid Multimodal Memory module to enhance long-horizon task performance in Minecraft, outperforming existing agents and achieving near human-level results.

https://arxiv.org/abs//2408.03615

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

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

  continue reading

1356 episodes

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