Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

NAACL 2019 Prithviraj AmmanabroluMark O. Riedl

Text-based adventure games provide a platform on which to explore reinforcement learning in the context of a combinatorial action space, such as natural language. We present a deep reinforcement learning architecture that represents the game state as a knowledge graph which is learned during exploration... (read more)

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