Policy Gradient for Rectangular Robust Markov Decision Processes

Policy gradient methods have become a standard for training reinforcement learning agents in a scalable and efficient manner. However, they do not account for transition uncertainty, whereas learning robust policies can be computationally expensive. In this paper, we introduce robust policy gradient...

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Hauptverfasser:	Kumar, Navdeep, Derman, Esther, Geist, Matthieu, Levy, Kfir, Mannor, Shie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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