ThunderSyncRL: Sync agentic RL gets up to 1.9x faster by overlapping gradients with rollouts
YouJiacheng · x · 2026-10-08
Researchers behind ThunderSyncRL show that synchronous agentic RL can be up to 1.9x faster without sacrificing on-policy updates, simply by overlapping gradient computation with rollouts. The result removes a key throughput bottleneck in synchronous RL training pipelines and is directly relevant for teams running agentic RL workloads.
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