OpenNERO
Released 2010
OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulation and graphical display of a 3-D physical world that includes multiple agents with embedded sensors and effectors and multiple objects. The software also includes tools for defining and manipulating the environment, the task, and the agent algorithms. The OpenNERO software environment allows developing and testing new AI methods as well as demonstrating existing methods in a sophisticated and concrete simulation of the physical world.

An abstract of the OpenNERO demo presented at AIIDE-08 is here. The current version of the environment is maintained at Googlecode. An example machine learning game that serves as inspiration for OpenNERO is described the NERO page.

Download:
TAR
People
Adam C. Dziuk Undergraduate Alumni
Igor V. Karpov Masters Alumni ikarpov [at] gmail com
Dan Lessin Ph.D. Alumni dlessin [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Publications
Neuroevolution 2022
Risto Miikkulainen, To Appear In Encyclopedia of Machine Learning and Data Science, 3rd Edition, Dinh Phung, Claude Sammut and Geoffrey I. Webb (Eds.), New York, 2022. Springer.
Evaluating team behaviors constructed with human-guided machine learning 2015
Igor V. Karpov, Leif M. Johnson and Risto Miikkulainen, To Appear In Proceedings of the IEEE Conference on Computational Intelligence in Games, August 31-July 2 2015.
Neuroevolution 2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk and Risto Miikkulainen, In Proceedings of the Congress on Evolutionary Computation, New Orleans, LA 2011. IEEE.
Neuroevolution 2010
Risto Miikkulainen, In Encyclopedia of Machine Learning, New York 2010. Springer.
The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution 2009
Yonatan Bisk, Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin.
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2005), pp. 653-668. IEEE.
Projects
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
NERO: NeuroEvolving Robotic Operatives 2003 - 2009
Leveraging Human Creativity with Machine Discovery 2008 - 2010
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
The OpenNERO AI Research and Education Platform 2009 - Present
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Areas of Interest
Evolutionary Computation Game Playing Neuroevolution Other Areas Reinforcement Learning
Demos
Neuro-Evolving Robotic Operatives (NERO)Kenneth Stanley2007
Labs
Neural Networks