论文标题
泰拉（Tella）的持续加强学习
Continual Reinforcement Learning with TELLA
论文作者
论文摘要
培训强化学习者在多种环境中不断学习是一个具有挑战性的问题。缺乏可重复的实验和标准指标来比较不同的持续学习方法，这变得更加困难。为了解决这个问题，我们提出了Tella，这是一种测试和评估终身学习代理商的工具。 Tella为终身学习代理提供了指定的，可重复的课程，同时记录详细数据进行评估和标准化分析。研究人员可以在各种学习环境中定义和共享自己的课程，或与DARPA终身学习机（L2M）计划中创建的课程相抵触。
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.
