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cs.DC2026
VenusRL: A Fully Disaggregated Agentic RL System with Priority Scheduling and Scalable Interaction
Mingjun Zhang, Yucheng Li, Menghao Zhang +15
Agentic Reinforcement Learning (RL) trains LLM agents through multi-turn interactions with external tool environments. Its multi-turn nature exposes two system-level bottlenecks un…
cs.DC2025
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
Zhixin Wang, Jiaming Xu, Tianyi Zhou +10
Effectively scaling Reinforcement Learning (RL) is crucial for enhancing the reasoning and alignment of Large Language Models. The massive data and complex execution flows inherent…