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Augmenting Offline RL with Unlabeled Data
This framework enables the student policy to gain insights not only from the offline RL dataset but also from the knowledge transferred by a teacher policy.
Integrating Domain Knowledge for handling Limited Data in Offline RL
With the ability to learn from static datasets, Offline Reinforcement Learning (RL) emerges as a compelling avenue for real-world applications.
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