CacheRL:Multi-Turn Tool-Calling Agents via Cached Rollouts and Hybrid Reward

Md Amirul Islam, Sumiran Thakur, Huancheng Chen +3

We present CacheRL, a system for training small agent foundation models that achieves 92 percent process accuracy on multi-step tool-calling tasks, approaching GPT-5's 94 percent w…