Language as an Abstraction for Hierarchical Deep Reinforcement Learning

YiDing Jiang, Shixiang (Shane) Gu, Kevin P. Murphy, Chelsea Finn

Neural Information Processing Systems 

With the ability to learn concepts and sub-skills that can be composed to solve longer tasks, i.e. hierarchical RL, wecanacquire temporally-extended behaviors.

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