Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning

The exploration \& exploitation dilemma poses significant challenges in reinforcement learning (RL). Recently, curiosity-based exploration methods achieved great success in tackling hard-exploration problems. However, they necessitate extensive hyperparameter tuning on different environments, wh...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wang, Yiran, Liu, Chenshu, Li, Yunfan, Amani, Sanae, Zhou, Bolei, Yang, Lin F
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!