BriefGPT.xyz
Nov, 2016
具有策略草图的模块化多任务强化学习
Modular Multitask Reinforcement Learning with Policy Sketches
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Jacob Andreas, Dan Klein, Sergey Levine
TL;DR
本论文提出了一种基于策略草图的多任务深度强化学习框架,该框架实现了通过关联每个子任务与模块化子策略、跨任务共享子策略的方式来提高任务性能,并自然地产生可解释的基础行为库,以便迅速适应新任务。
Abstract
We describe a framework for
multitask deep reinforcement learning
guided by
policy sketches
. Sketches annotate each task with a sequence of named
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