Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Multi-Task Reinforcement Learning (MTRL) tackles the long-standing problem of endowing agents with skills that generalize across a variety of problems. To this end, sharing representations plays a fundamental role in capturing both unique and common characteristics of the tasks. Tasks may exhibit si...

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Bibliographische Detailangaben

Hauptverfasser:	Hendawy, Ahmed, Peters, Jan, D'Eramo, Carlo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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