Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic Tasks. New RL system SINKFLEX-RL cuts VRAM 19.7% for ...

Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic Tasks. New RL system SINKFLEX-RL cuts VRAM 19.7% for long-horizon agent tasks, boosting Tau2Bench retail rewards from 0.25 to 0.44 in early tests.Source: arXiv cs.LGhttps://arxiv.org/abs/2608.10357#MachineLearning

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