ARISE: Adapting to Evolving Capability Gaps in Agentic Reinforcement Learning

Kun Feng, Yuchen Fang, Yiyang Tan +6

As a long-horizon agent improves through experience, previously observed weaknesses may recede while new limitations emerge, continually changing what it still needs to learn. Yet…