GENTLE是一种新算法，用于解决有限数据条件下学习可推广任务表征的问题。它利用Task Auto-Encoder来捕捉任务模型的生成结构，并通过构造伪转换来缓解行为多样性有限的影响。实证结果表明，GENTLE方法在分布内和分布外任务上明显优于现有的离线元强化学习方法。

The perception of LDAP (Lightweight Directory Access Protocol) is ambivalent. On the one hand, it is widely supported as a common authentication backend. On the other hand, there’s very little and...

While this computer is booting.. I will update the world on the status of my weekend. we went to a juggling convention. hehe. more later. I am going to lay under my desk and sleep