A Study on Overfitting in Deep Reinforcement Learning

arXiv: Learning, Volume abs/1804.06893, 2018.

Cited by: 154|Views118
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Abstract:

Recent years have witnessed significant progresses in deep Reinforcement Learning (RL). Empowered with large scale neural networks, carefully designed architectures, novel training algorithms and massively parallel computing devices, researchers are able to attack many challenging RL problems. However, in machine learning, more training...More

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