#asynchronous reinforcement learning

AREAL is a new asynchronous reinforcement learning system that significantly speeds up training of large reasoning models by separating generation and training processes, achieving up to 2.77× faster training without loss of accuracy.

PrimeIntellect has launched INTELLECT-2, a 32-billion parameter reasoning model trained using decentralized asynchronous reinforcement learning, achieving superior performance and open-sourcing the full codebase.