WeightBridge: An Efficient Weight Transfer Library for Reinforcement Learning
Weight transfer - the propagation of updated parameters from trainers to rollout generators - is becoming an important performance bottleneck in reinforcement learning (RL) systems for LLMs. The central challenge is supporting the diverse trainer and rollout layouts and synchronization requirements of modern RL workloads without sacrificing efficiency. Existing solutions are efficient under some configurations but perform poorly or lack support under others. We present WeightBridge, a flexible, efficient weight-transfer library designed to deliver high performance across diverse RL configurations. WeightBridge first automatically extracts the correspondence between trainer and rollout wei...
| Authors | Xuanlin Jiang, Samuel Hsia, Michael Kuchnik et al. |
|---|---|
| Primary category | cs.DC |
| Published | 21 September 2026 |
| Last updated at source | 21 September 2026 |
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