Provably efficient reconstruction of policy networks

7 Feb 2020Bogdan MazoureThang DoanTianyu LiVladimir MakarenkovJoelle PineauDoina PrecupGuillaume Rabusseau

Recent research has shown that learning poli-cies parametrized by large neural networks can achieve significant success on challenging reinforcement learning problems. However, when memory is limited, it is not always possible to store such models exactly for inference, and com-pressing the policy into a compact representation might be necessary... (read more)

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