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Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies.

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2019): 7156-7166

Cited by: 21|Views34
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Abstract

We introduce a new RL problem where the agent is required to generalize to a previously-unseen environment characterized by a subtask graph which describes a set of subtasks and their dependencies. Unlike existing hierarchical multitask RL approaches that explicitly describe what the agent should do at a high level, our problem only descr...More

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