SRMT: Shared Memory for Multi-agent Lifelong Pathfinding

from Arxiv Papers · host Igor Melnyk

The Shared Recurrent Memory Transformer (SRMT) enhances multi-agent coordination by pooling memories, outperforming baselines in navigation tasks and demonstrating effective generalization in decentralized systems. https://arxiv.org/abs//2501.13200 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

Episode metadata supplied by the publisher feed · Published Jan 24, 2025

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SRMT: Shared Memory for Multi-agent Lifelong Pathfinding

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