
NVIDIA debuts BroRL rollout scaling for LLM training
NVIDIA Research introduced BroRL rollout scaling, a training strategy that floods each prompt with hundreds of exploratory rollouts to improve LLM reasoning. The approach targets plateaus in reinforcement learning from verifiable rewards and claims stronger data and compute efficiency. BroRL rollout scaling explained Moreover, BroRL widens exploration instead of only extending training steps. The method […]







