Learning retrospective knowledge with reverse reinforcement learning

Learning retrospective knowledge with reverse reinforcement learning

We present a Reverse Reinforcement Learning (Reverse RL) approach for representing retrospective knowledge. General Value Functions (GVFs) have enjoyed great success in representing predictive knowledge, i.e., answering questions about possible future outcomes such as “how much fuel will be consumed...

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Bibliographic Details
Main Authors:	Zhang, S, Veeriah, V, Whiteson, S
Format:	Conference item
Language:	English
Published:	NeurIPS 2020

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