Training reinforcement learning agents that continually learn across multiple environments is a challenging problem. This is made more difficult by a lack of reproducible experiments and standard metrics for comparing different continual learning approaches. To address this, we present TELLA, a tool for the Test and Evaluation of Lifelong Learning Agents. TELLA provides specified, reproducible curricula to lifelong learning agents while logging detailed data for evaluation and standardized analysis. Researchers can define and share their own curricula over various learning environments or run against a curriculum created under the DARPA Lifelong Learning Machines (L2M) Program.

翻译：为解决这一问题,我们介绍 " TELA ",这是测试和评价终身学习代理人的工具。 " TELA " 向终身学习代理人提供具体、可复制的课程,同时记录详细的评价和标准化分析数据。研究人员可以在各种学习环境中确定和分享自己的课程,或根据DARPA " 终身学习机器(L2M) " 方案制定的课程进行。