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具有重要抽样的广义博弈策略评价Strategy Evaluation in Extensive Games with Importance Sampling |
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| 课程网址: | http://videolectures.net/icml08_johanson_see/ |
| 主讲教师: | Michael Johanson |
| 开课单位: | 阿尔伯塔大学 |
| 开课时间: | 2008-08-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many samples for an accurate estimate. We present a new technique that can be used to simultaneously evaluate many strategies while playing a single strategy in the context of an extensive game. This technique is based on importance sampling, but utilizes two new mechanisms for significantly reducing variance in the estimates. We demonstrate its effectiveness in the domain of poker, where stochasticity makes traditional evaluation problematic. |
| 关 键 词: | 蒙特卡洛估计; 随机代理决策; 随机结果 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-18：cwx |
| 阅读次数: | 30 |