Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment

The dataset used in the paper is a reinforcement learning dataset, where the authors analyze the modularity of discrete-action reinforcement learning algorithms.

Data and Resources

Cite this as

Michael Chang, Sidhant Kaushik, Sergey Levine, Thomas L. Griffiths (2024). Dataset: Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment. https://doi.org/10.57702/fw2gr9xo

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2106.14993
Author Michael Chang
More Authors
Sidhant Kaushik
Sergey Levine
Thomas L. Griffiths
Homepage https://arxiv.org/abs/2106.09441