Learning Domain Invariant Representations in Goal-conditioned Block MDPs

NeurIPS2021 Deep Reinforcement Learning (RL) is successful in solving many complex Markov Decision Processes (MDPs) problems. However, agents often face unanticipated environmental changes after deployment in the real world. These changes are often spurious and unrelated to the underlying problem, s...

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Bibliographische Detailangaben

Hauptverfasser:	Han, Beining, Zheng, Chongyi, Chan, Harris, Paster, Keiran, Zhang, Michael R, Ba, Jimmy
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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