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#long-horizon-agents News & Analysis

2 articles tagged with #long-horizon-agents. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · 3d ago6/10
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S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering

Researchers introduce S3MEM, a structured memory framework that improves how AI agents retrieve and answer questions about long trajectory histories. The system outperforms standard retrieval-augmented generation by organizing trajectories into scene-event units and using anchor-sensitive retrieval, achieving better accuracy with fewer tokens across multiple interactive environments.

AIBullisharXiv – CS AI · Mar 37/108
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MemPO: Self-Memory Policy Optimization for Long-Horizon Agents

Researchers propose MemPO (Self-Memory Policy Optimization), a new algorithm that enables AI agents to autonomously manage their memory during long-horizon tasks. The method achieves significant performance improvements with 25.98% F1 score gains over base models while reducing token usage by 67.58%.