The NERO Video Game

Authors

  • Kenneth O. Stanley The University of Central Florida
  • Igor Karpov The University of Texas at Austin
  • Risto Miikkulainen The University of Texas at Austin
  • Aliza Gold The University of Texas at Austin

DOI:

https://doi.org/10.1609/aiide.v2i1.18771

Abstract

In the NeuroEvolving Robotic Operatives (NERO) game, the player trains a team of virtual robots for combat against other players' teams. The virtual robots learn in real time through interacting with the player. Since NERO was originally released in June, 2005, it has been downloaded over 50,000 times, appeared on Slashdot, and won several honors. A significant update was released in November, 2005, including improved performance, new battle mode options, and faster learning. The virtual robots learn using the real-time NeuroEvolution of Augmenting Topologies (rt-NEAT) method, which can evolve increasingly complex artificial agents in NERO adapt in real time as they interact with the player in the new, updated game. In the future, rtNEAT may allow new kinds of educational and training applications through interactive and adapting games. 

Downloads

Published

2021-09-29

How to Cite

Stanley, . K., Karpov, . I., Miikkulainen, R., & Gold, A. (2021). The NERO Video Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2(1), 151-152. https://doi.org/10.1609/aiide.v2i1.18771

Issue

Vol. 2 No. 1 (2006): Second Artificial Intelligence and Interactive Digital Entertainment Conference

Section

Demonstration Papers