EvoTanks: Co-Evolutionary AI Agents For Complex Video Game Environments.pdf
Thompson_etal_IEEE2007_EvoTanks_co_evolutionary_development_game_playing_agents.pdf
Description
EvoTanks explores the co-evolutionary development of AI players for a video game, using neural networks and evolutionary methods to create agents that adapt to and outperform opponents, extending beyond previously scripted behaviors. The project aims to enhance AI capabilities in dynamic game environments. Research highlights successful agent adaptation against diverse opponent behaviors.
Technical Information
- File Format: PDF
- File Size: 132 KB
- Pages: 6
- Language: EN
- Author: pradeep misra
- Total Downloads: 40
- Last Updated: 3 hours ago
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This PDF document about EvoTanks: Co-Evolutionary AI Agents for Complex Video Game Environments provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into EvoTanks: Co-Evolutionary AI Agents for Complex Video Game Environments.
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