首页> 美国政府科技报告 >Computation of Suboptimal Nash Strategies for a Stochastic Differential Game under Partial Observation
【24h】

Computation of Suboptimal Nash Strategies for a Stochastic Differential Game under Partial Observation

机译:部分观测下随机微分对策的次优Nash策略计算

获取原文

摘要

Consider the random motion of two points in an open and bounded domain in the plane. Each of the velocities is perturbed by a corresponding Gaussian white noise. Two cases are dealt with: (1) each of the points can observe only its own location; (2) one can observe only its own location, but the other can observe the location of both points. The problem dealt with here is to find a strategy such that, in the sense of a Nash equilibrium point, the probabilities will both be maximized on a given class of (u,v)-admissible strategies. Sufficient conditions on weak optimal Nash equilibrium point strategies are derived, and weak suboptimal strategies computed for a variety of cases.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号