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Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

research

A comprehensive survey of 16 open-source reinforcement learning libraries that implement asynchronous training architectures, analyzing design choices across 7 axes (orchestration, buffer design, weight sync protocols, staleness management, LoRA support, distributed backends) to optimize GPU utilization by disaggregating inference and training workloads.

reinforcement-learning asynchronous-training gpu-optimization distributed-training model-inference rollout-buffer weight-synchronization lora-training vllm ray nccl post-training chain-of-thought agentic-ai mixture-of-experts orchestration

TRL Ray NCCL vLLM GRPO LoRA MiniMax Forge Deepseek v3.2 Amine Dirhoussi Quentin Gallouédec Kashif Rasul Lewis Tunstall Edward Beeching

huggingface.co · kashifr · 1 day ago · details · hn