My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

Multitask Reinforcement Learning is a promising way to obtain models with better performance, generalisation, data efficiency, and robustness. Most existing work is limited to compatible settings, where the state and action space dimensions are the same across tasks. Graph Neural Networks (GNN) are...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Kurin, Vitaly, Igl, Maximilian, Rocktäschel, Tim, Boehmer, Wendelin, Whiteson, Shimon
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Graph neural networks Graph theory Message passing Morphology
Online-Zugang:	Volltext
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