Robo-Saber: Generating and Simulating Virtual Reality Players
Robo-Saber demonstrates promise in synthesizing rich gameplay data for predictive applications and enabling a physics-based whole-body VR playtesting agent.
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Robo-Saber demonstrates promise in synthesizing rich gameplay data for predictive applications and enabling a physics-based whole-body VR playtesting agent.
This work proposes and evaluates State-Conditioned Shooting (SCOOT), a novel DRL algorithm that builds on advantage-weighted regression (AWR) with three key modifications, and showcases the features’ performance in learning physically-based billiard shots demonstrating high action precision and discovering multiple sho...
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