Transfer in Deep Reinforcement Learning using Knowledge Graphs

WS 2019 Prithviraj AmmanabroluMark O. Riedl

Text adventure games, in which players must make sense of the world through text descriptions and declare actions through text descriptions, provide a stepping stone toward grounding action in language. Prior work has demonstrated that using a knowledge graph as a state representation and question-answering to pre-train a deep Q-network facilitates faster control policy transfer... (read more)

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