environment-evolution

本文提出环境演化方法，以离线方式逐步增加终端代理的任务难度，从而增强持续学习信号，并提升在Terminal-Bench 2.1等基准测试上的性能。

Introduces OpenART, a large-scale arena for red-teaming AI agents via open-ended environment evolution, with over 10K stateful scenarios across 50 domains, plus EMHA, a black-box hypergraph attack achieving 85% ASR across 75 agent-model configurations.