An Invisible Issue of Task Underspecification in Deep Reinforcement Learning Evaluations
Performance evaluations of Deep Reinforcement Learning (DRL) algorithms are an integral part of the scientific progress of the field. However, standard performance evaluation practices in evaluating algorithmic generalization of DRL methods within a task can be unreliable and misleading if not caref...
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147493 |