#PPO
2 related articles
·2 min
PPO Algorithm Cracks the Moving Sofa Problem, Reconstructing Gerver's Optimal Solution
Developer uses PPO reinforcement learning to reconstruct Gerver's optimal solution to the Moving Sofa Problem, showcasing AI's potential in geometric optimization and its limitations.
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·3 min
Training a PPO Agent to Play Temple Run on a Phone: Real-Device Record Hits 16,782 Meters
A developer trained a PPO reinforcement learning agent to play Temple Run, using Frida to read game memory and call game methods directly. A custom C++ headless simulator trains 10M steps in 6 minutes. In 14 real-device tests, the median was 4,736 meters and the best was 16,782 meters. Now open-sourced on GitHub.
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