Interestingness elements for explainable reinforcement learning: Understanding agents' capab

Author:  

Publication:  Artificial Intelligence

CITE.CC academic search helps you expand the influence of your papers.

Tags:     AI

Abstract


Cite this article

https://doi.org/10.1016/j.artint.2020.103367

View full text

>> Full Text:   Interestingness elements for explainable reinforcement learning: Understanding agents' capab

Fixed point semantics for stream reasoning

Probability pooling for dependent agents in collective learning