NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning

Name: NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning
Uploaded: 2026-10-18T13:21:53.105663+00:00
Duration: 1020 s
Description: NetRL is a two-stage LLM-based reinforcement learning framework that solves generalization and instability issues in network decision tasks like load balancing. It combines supervised fine-tuning with online policy optimization using a universal mixed-embedding interface and NetGRPO for stable, long-horizon action evaluation, achieving state-of-the-art performance.

NetRL is a two-stage LLM-based reinforcement learning framework that solves generalization and instability issues in network decision tasks like load balancing. It combines supervised fine-tuning with online policy optimization using a universal mixed-embedding interface and NetGRPO for stable, long-horizon action evaluation, achieving state-of-the-art performance.

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