Beating Atari with Natural Language Guided Reinforcement Learning

18 Apr 2017Russell KaplanChristopher SauerAlexander Sosa

We introduce the first deep reinforcement learning agent that learns to beat Atari games with the aid of natural language instructions. The agent uses a multimodal embedding between environment observations and natural language to self-monitor progress through a list of English instructions, granting itself reward for completing instructions in addition to increasing the game score... (read more)

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