Daniel L. Elliott

According to our database, Daniel L. Elliott authored at least 7 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions.

Daniel L. Elliott, Charles W. Anderson

IEEE Trans. Neural Networks Learn. Syst., 2023

2022

Cough Sound Analysis for the Evidence of Covid-19.

Nicholas Rasmussen, Daniel L. Elliott, Muntasir Mamun, KC Santosh

Proceedings of the Computer Vision and Machine Intelligence, 2022

2020

Gradient boosting in crowd ensembles for Q-learning using weight sharing.

Daniel L. Elliott, KC Santosh, Charles Anderson

Int. J. Mach. Learn. Cybern., 2020

2015

Faster reinforcement learning after pretraining deep networks to predict state dynamics.

Charles W. Anderson, Minwoo Lee, Daniel L. Elliott

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning.

Daniel L. Elliott, Charles Anderson

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2011

Recurrent Neural Networks for Moisture Content Prediction in Seed Corn Dryer Buildings.

Daniel L. Elliott, Russell E. Valentine

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2005

EM in high-dimensional spaces.

Bruce A. Draper, Daniel L. Elliott, Jeremy Hayes, Kyungim Baek

IEEE Trans. Syst. Man Cybern. Part B, 2005