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RoboHub🤖
@XRoboHub
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加入 July 2012
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This robot can actually take you on at soccer now. ⚽ Skild AI is fine-tuning its S1 model with self-play reinforcement learning, the idea that helped power AlphaGo and OpenAI’s Dota 2 bots. S1 builds on skills it already has, playing recent versions of itself in simulation with one goal: score. As it improves, newer versions become tougher training opponents. After 140+ simulated years, it learned to shield the ball and tackle without separate rewards for those moves. They emerged because they helped it score. No new human demonstrations are needed during self-play. In early four-agent simulations, passing and coordination are starting to emerge, too.
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