Decomposing user-defined tasks in a reinforcement learning setup using TextWorld
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The current paper proposes a hierarchical reinforcement learning (HRL) method to decompose a complex task into simpler sub-tasks and leverage those to improve the training of an autonomous agent in a simulated environment. For practical reasons (i.e., illustra... ...
