Search Results for author:
Found 2 papers, 1 papers with code
Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems
We study decentralized multi-agent learning in bipartite queueing systems, a standard model for service systems.
The Mean-Squared Error of Double Q-Learning
In this paper, we establish a theoretical comparison between the asymptotic mean-squared error of Double Q-learning and Q-learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
