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Name: Keith Soules
Type: User
Name: Keith Soules
Type: User
his work proposes a method to improve sample efficiency in Deep Q-Networks (DQNs) by leveraging self-supervised learning for pre-training. Our approach involves pre-training the DQN with self-supervised tasks before fine-tuning it on various platformer and Atari game environments.
This is an implementation of the Super Yolo repository with changes to specialize in drone detection.
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