AIBullisharXiv – CS AI · 9h ago7/10
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ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction
ABBEL is a new recursive summarization framework that enables AI agents to maintain memory-efficient interaction histories by storing information as natural-language belief states rather than full context. The approach uses reinforcement learning techniques to improve belief generation quality, achieving 40% better performance than prior memory-constrained agents while using 67% less memory.