Meta-Reinforcement Learning for Heuristic Planning

In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of tasks to prepare for and learn faster in new, unseen, but related tasks. The training tasks are usually hand-crafted to be representative of the expected distribution of test tasks and hence all used in training. We show that g...

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Veröffentlicht in:	arXiv.org 2021-07
Hauptverfasser:	Ricardo Luna Gutierrez, Leonetti, Matteo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Information theory Learning Military training Training
Online-Zugang:	Volltext
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