Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft

12 Mar 2020Christian SchellerYanick SchranerManfred Vogel

Sample inefficiency of deep reinforcement learning methods is a major obstacle for their use in real-world applications. In this work, we show how human demonstrations can improve final performance of agents on the Minecraft minigame ObtainDiamond with only 8M frames of environment interaction... (read more)

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