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#agent-scaling News & Analysis

2 articles tagged with #agent-scaling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Jun 17/10
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ASH: Agents that Self-Hone via Embodied Learning

Researchers introduce ASH, an agentic system that learns embodied policies from unlabeled internet video without reward shaping or expert demonstration. Through a self-improvement loop using Inverse Dynamics Models, ASH achieves sustained progression on long-horizon tasks in Pokemon Emerald and Legend of Zelda, significantly outperforming baseline approaches.

AIBullisharXiv – CS AI · Apr 157/10
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Transferable Expertise for Autonomous Agents via Real-World Case-Based Learning

Researchers propose a case-based learning framework enabling LLM-based autonomous agents to extract and reuse knowledge from past tasks, improving performance on complex real-world problems. The method outperforms traditional zero-shot, few-shot, and prompt-based baselines across six task categories, with gains increasing as task complexity rises.