KV-streams for Efficient Compaction in Agentic Reinforcement Learning
KV-streams is proposed, a plug-and-play strategy compatible with any compaction strategy that substantially increases throughput while showing no evidence of hindering performance, and is shown to be an efficient and lightweight plug-and-play addition to any post-training pipeline.
Emiliano Penaloza, Dane Malenfant, Dheeraj Vattikonda et al.
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