Orbit Wars 冠军用强化学习模拟 150 亿步夺冠
精选理由
Kaggle 访谈，Orbit Wars 冠军讲他的 RL 方案跑了 150 亿步，还聊了为什么智能体不能太可预测，做对局的可以听听。
Isaiah Pressman 在 Kaggle 的 Orbit Wars 比赛中拿下第一，方案基于强化学习，模拟了 150 亿步。他在 Beyond the Leaderboard 节目中解释，策略过于可预测是 RL 智能体的主要风险，需要随机混合策略才能不被对手针对。这是一期附加集内容的预告。
原文 · Kaggle
Why do RL Agents need to mix up their strategies?
"Orbit Wars" winner Isaiah Pressman took the top spot with reinforcement learning that simulated 15 billion steps.
He shares the risks of predictability in this bonus episode of Beyond the Leaderboard.
Here's a sneak peek: https://t.co/dYvtIVDO1D
