Wield: Systematic Reinforcement Learning With Progressive Randomization

doi:doi:10.57702/w86v0adt

Wield: Systematic Reinforcement Learning With Progressive Randomization

Wield is a system for systematic task design and evaluation in applied RL. It provides a set of reusable software primitives to decouple system interface and RL representation from deployment-specific data and task layouts.

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Michael Schaarschmidt, Kai Fricke, Eiko Yoneki (2024). Dataset: Wield: Systematic Reinforcement Learning With Progressive Randomization. https://doi.org/10.57702/w86v0adt

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1909.06844
Author	Michael Schaarschmidt
More Authors	Kai Fricke Eiko Yoneki