arXivAI Research
KV-streams: Boosting Context Compaction Efficiency in Agentic Reinforcement Learning
KV-streams：透過快取串流突破代理型強化學習的上下文壓縮瓶頸
This paper introduces KV-streams, a plug-and-play method that streams the KV cache forward instead of flushing it during context compaction, achieving up to a 5x speedup in agentic reinforcement learning training.
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