APE pretrains a ResNet18 encoder with adaptively selected augmentations and freezes its early layers during policy learning, improving sample efficiency of DreamerV3 and DrQ-v2 on several visual RL benchmarks.
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Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
APE pretrains a ResNet18 encoder with adaptively selected augmentations and freezes its early layers during policy learning, improving sample efficiency of DreamerV3 and DrQ-v2 on several visual RL benchmarks.