Neuro-Evolving Robotic Operatives is an interactive game where players can control adaptive intelligent agents. The game allows users to directly interact with and observe the learning and evolution of these digital agents.
The NERO project is primarily managed and executed by students and remains an ongoing research project. The game utilizes the real-time NeuroEvolution of Augmenting Topologies (rtNEAT) algorithm that Ken Stanley developed during his doctoral work at UT Austin. Moreover, the project is a result of the collaboration between the Department of Computer Sciences and the Digital Media Collaboratory at the University of Texas in Austin.
If you intend to use this game, you will need to have libSDL-1.2.so.0 installed on your system. If you cannot locate it, a search on your system should reveal its location, and you can then copy it into the program directory. Afterward, you can start the program by typing "#!/bin/sh export LD_LIBRARY_PATH=".:$LD_LIBRARY_PATH" ./nero.bin".
The latest version of NER0 features several exciting upgrades, including a streamlined training interface, a radial context menu, and new training tools. Additionally, the latest release offers users access to expanded tutorials and new turret models. Overall, NER0 is an exceptional game that offers a unique and interactive experience for both enthusiasts and professionals in the field.
Version 2.0: N/A