The authors developed ContextEvo, a framework that learns context-management policies from completed agent trajectories.
Agents improve long-horizon performance by evolving how they manage context
ContextEvo learns environment-specific policies for retaining, condensing, and presenting information during extended agent tasks.
Top University
Weiyuan Li · Jinghan Xu · Aili Chen · Xintao Wang · Shuang Liang · Jiaqing Liang · +1 more
Fudan University · Shanghai Key Laboratory of Data Science
Research Digest··2 min read
Li et al.
Why this paper
From Fudan University and Shanghai Key Laboratory of Data Science
In one line
Evolving context management policies from long-horizon trajectories improves long-horizon agent performance more effectively than evolving skills or using fixed context strategies.
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