Efficient RL Training - Optimizing Memory Usage in verl

Authored by Biao He Ata Fatahi 1. Introduction Reinforcement learning (RL) for large language models (LLMs) presents unique challenges due to its integration of inference and training in each step, demanding significant scalability and resource efficiency. The verl library, designed for RL training of LLMs, combines advanced training strategies like Fully Sharded Data Parallel ( FSDP ) and…