NERO: Neuro-Evolving Robotic Operatives

NERO: Neuro-Evolving Robotic Operatives

DMC/IC2
May 31, 2005
Genres
Simulator, Strategy
Developers
DMC/IC2
Release Date
May 31, 2005 (19 years and 11 months ago)
Publishers
DMC/IC2
Franchises
NERO: Neuro-Evolving Robotic Operatives

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Summary

NERO is an example of a new genre of games, called Machine Learning Games. Although it resembles some RTS games, there are three important differences: (1) in NERO the agents are embedded in a 3D physics simulation, (2) the agents are trainable, and (3) the game consists of two distinct phases of play. In the first phase individual players deploy agents, i.e. simulated robots, in a "sandbox" and train them to the desired tactical doctrine. Once a collection of robots has been trained, a second phase of play (either battle or territory mode) allows players to pit their robots in a battle against robots trained by some other player, to see how effective their training was. The training phase is the most innovative aspect of game play in NERO, and is also the most interesting from the perspective of AI research.

Genres
Simulator, Strategy
Platforms
PC (Microsoft Windows)
Developers
DMC/IC2
Release Date
May 31, 2005 (19 years and 11 months ago)
Publishers
DMC/IC2
Franchises
NERO: Neuro-Evolving Robotic Operatives

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