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Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework
Results on a simulated human-assisted navigation problem demonstrate the effectiveness of our framework: aided with an interaction policy learned by our method, a navigation policy achieves up to a 7× improvement in task success rate compared to performing tasks only by itself.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
