PEARL: Adaptive Prefill-Decode Execution with Elasticity for Agentic Reinforcement Learning.

arXiv:2609.35158v1 Announce Type: new Abstract: Multi-turn rollout dominates the cost of agentic reinforcement learning (RL). Asynchronous execution and elastic GPU resources can accelerate this stage, but adding rollout replicas yields diminishing returns whi