ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL
The paper proposes RL training for agents that decide what to keep, compress, offload, or remember during long tasks.
ContextPilot expands context-management tools beyond search, deletion, and summarization to include planning, long-term memory, and soft offloading. Its RL method samples branches around high-impact editing choices and assigns action-level credit rather than spreading one final reward across the whole trajectory. The authors report stronger results on long-context QA and deep search tasks while using a more compact working context across tested models and benchmarks. HF Daily Papers' note
ContextPilot expands context-management tools beyond search, deletion, and summarization to include planning, long-term memory, and soft offloading. Its RL method samples branches around high-impact editing choices and assigns action-level credit rather than spreading one final reward across the whole trajectory. The authors report stronger results on long-context QA and deep search tasks while using a more compact working context across tested models and benchmarks. HF Daily Papers' note
score 5