Exploring AI-Driven Speeder Bikes in Star Wars Outlaws
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In a galaxy torn by civil war, the Rebel Alliance evades the clutches of the Galactic Empire, setting the stage for daring escapades and high-stakes heists. Enter KS, a renegade thief who seizes the Trailblazer after a botched job, embarking on a journey through the Outer Rim. Collaborating with notorious factions like the Pike Syndicate, the Huts, and the Crimson Dawn, KS maneuvers through a web of alliances and rivalries, all while keeping her true intentions hidden. But amidst the chaos and intrigue lies the real star of the show: artificial intelligence.
Developed by Massive Entertainment, Star Wars Outlaws thrusts players into a thrilling adventure across iconic planets like Tatooine and Akiva. Behind the scenes, AI takes center stage, particularly when it comes to controlling speeder bikes. While traditional game AI suffices for NPCs, speeder bikes demand a more sophisticated approach. Enter machine learning, a cutting-edge solution that revolutionizes how these vehicles navigate treacherous terrain and engage in high-speed pursuits.
Ubisoft's machine learning team joins forces with Massive to implement ML-controlled speeders in the game. Leveraging Smart Drive, a machine learning controller powered by reinforcement learning, the developers craft a system that trains neural networks to handle the complexities of speeder bike movement. This collaboration marks a pivotal moment in game development, showcasing the potential of AI to enhance player experiences and drive innovation in the industry. As players race through the galaxy on their speeder bikes, they're not just facing off against enemies—they're also pitting their skills against a sophisticated AI system that adapts and learns in real-time.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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