
ARLArena: Stable Agentic RL Framework
ARLArena offers a stable training recipe and analysis framework for agentic reinforcement learning (ARL) to combat training collapse. It decomposes policy gradients into four core dimensions and introduces SAMPO, a method mitigating key instability sources. SAMPO ensures consistent stability and superior performance across diverse agentic tasks.





