Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful technique for solving challenging reinforcement learning problems. Compared to traditional (e.g.

CLEMSON, SC – Cullen Lasso came to Clemson last fall to watch his brother play for the Wofford soccer team against the Tigers at Historic Riggs Field. While on campus for the match, Lasso, then a high ...

Abstract: A number of detection and defense mechanisms have emerged in the last decade to tackle the botnet phenomenon. It is important to organize this knowledge to better understand the botnet ...

Abstract: Energy-efficiency is the main concern in most Wireless Sensor Network (WSN) applications. For this purpose, current WSN MAC (Medium Access Control) protocols use duty-cycling schemes, where ...

NERO is a machine learning game in which the player uses real-time neuroevolution to train a team of robotic soldiers for combat. Training takes place in a sandbox, where the player can place ...