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All SourcesarXiv
#reward shaping

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

Beginner
Zhenting Wang, Huancheng Chen et al.Mar 4arXiv

This paper teaches long-horizon AI agents to remember everything exactly without stuffing their whole memory at once.

#indexed memory#LLM agents#long-horizon tasks

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SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization

Beginner
Jinyang Wu, Changpeng Yang et al.Jan 30arXiv

Most reinforcement learning agents only get a simple pass/fail reward, which hides how good or bad their attempts really were.

#Sweet Spot Learning#tiered rewards#reinforcement learning with verifiable rewards

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