Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
We describe algorithms for computing Nash equilibria in structured game representations, including both graphical games and multi-agent influence diagrams (MAIDs). The algorithms...
A multiple representation database contains several geographic datasets defined at different resolutions covering the same area. Objects within the different datasets that repre...
The open-source rsync utility reduces the time and bandwidth required to update a file across a network. Rsync uses an interactive protocol that detects changes in a file and se...
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...