NERO: Neuro-Evolving Robotic Operatives Cover

IGDB / 7616

NERO: Neuro-Evolving Robotic Operatives

2005 Simulator Strategy
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 des Show full 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.

World design Nicht eindeutig Game modeMultiplayer

Deep dive / Spielprofil

Everything about NERO: Neuro-Evolving Robotic Operatives: story and gameplay

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Story & context

N/A

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Game profile / Plain language

NERO: Neuro-Evolving Robotic Operatives: release, platforms, and facts

Studio, play style, releases, and official sources — compactly prepared from external IGDB data.

01
Studios & ownership

Studio & publishing

Developer
DMC/IC2
Publisher
DMC/IC2
Franchise
Standalone
02
So spielt es sich

Spielprofil

Modi
Multiplayer
Perspective
Third person
Themes
Science fiction
03
Wo & wann

Platform releases

  • PC (Microsoft Windows) Jun 2005

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