Can Learned Optimization Make Reinforcement Learning Less Difficult?

While reinforcement learning (RL) holds great potential for decision making in the real world, it suffers from a number of unique difficulties which often need specific consideration. In particular: it is highly non-stationary; suffers from high degrees of plasticity loss; and requires exploration t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Goldie, Alexander David, Lu, Chris, Jackson, Matthew Thomas, Whiteson, Shimon, Foerster, Jakob Nicolaus
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!