How to Enable Uncertainty Estimation in Proximal Policy Optimization

While deep reinforcement learning (RL) agents have showcased strong results across many domains, a major concern is their inherent opaqueness and the safety of such systems in real-world use cases. To overcome these issues, we need agents that can quantify their uncertainty and detect out-of-distrib...

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Bibliographische Detailangaben

Hauptverfasser:	Bykovets, Eugene, Metz, Yannick, El-Assady, Mennatallah, Keim, Daniel A, Buhmann, Joachim M
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Multiagent Systems Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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