stochastic game
英 [stə'kæstɪk ɡeɪm]
美 [stə'kæstɪk ɡeɪm]
网络 随机博弈
双语例句
- A Study on the Stochastic Stability of Coordination Game in Closed-loop Supply Chain
闭环供应链协调博弈的随机稳定性研究 - There should be no in-between, no compromises. Compromise Value of Compromise Admissible Stochastic Cooperative Game
不应有折衷，不应有妥协。妥协可接受的随机合作对策的妥协值 - Compromise Value of Compromise Admissible Stochastic Cooperative Game
妥协可接受的随机合作对策的妥协值 - In this paper, the preferences on stochastic payoffs are defined by quantiles, and the Nash equilibrium of the bimatrix game with stochastic payoffs is given base on the preferences.
首先，本文将引人中位数来定义随机支苟值的偏好，并在此偏好的基础上进一步定义带随机支付双矩阵博弈的纳什均衡。 - Deter-mining solutions of games with fuzzy stochastic strategies and function value game matrix.
具有模糊随机策略和函数值对策矩阵对策解的确定。 - This paper analyzes dynamic decision and risk selection in different states by developing a stochastic game model for two companies with multi-steps of technological development.
通过建立两个企业多阶段技术开发随机对策模型，分析了在不同状态下企业的动态决策和风险选择。 - This paper extends notions of superadditivity and convexity to stochastic cooperative games. It is shown that convex games are superadditive and have nonempty cores, and that the core of convex stochastic cooperative game satisfies the Minkowski sum and Minkowski difference.
本文将凸性扩展到随机合作对策中，从而得到凸随机合作对策具有超可加性与非空的核心，且凸随机合作对策的核心满足Minkowski和与Minkowski差。 - A Cooperative Reinforcement Learning Method Based on the Stochastic Game in Multi-Agent Systems
基于随机博弈的Agent协同强化学习方法 - The research on multi-agent reinforcement learning is to deal with the problem of play skill between agents, just with the concept of stochastic game.
多agent学习是在随机博弈的框架下，研究多个智能体间通过自学习掌握交互技巧的问题。 - It is pr-oved that under certain condition the stochastic game has a value and both players have optimal strategies for discounted rewards.
在一定条件下，我们证明随机对策有值函数，两个局中人相对于折扣报酬都有最优策略。 - The dynamic CRM model is presented by using stochastic game theory and estimable structural dynamic programming technologies.
运用随机博弈及可评估的结构动态规划技术建立动态客户关系管理的数学模型。 - Research on strategy selection in n-person stochastic iterated game
n人随机重复博弈下的策略选择研究 - The dynamic hedging problem for European options is studied by applying stochastic differential game method, under the assumption of incomplete market where the underlying assets prices follow geometric Brownian motion with stochastic volatility.
在标的资产价格服从带有随机方差几何布朗运动的非完全市场假设条件下，应用随机微分对策方法，研究与标的资产有关的欧式期权的动态套期保值策略问题。 - That is stochastic game concerning the interactive learning system of multi-agent.
本文针对随机对策框架下完全合作和理性合作的多agent学习进行了研究。 - This paper aims at the learning process of a kind of cooperative teams, which pursue the maximum benefit of a whole system. We propose a new cooperative reinforcement learning method based on the stochastic game in multi-agent systems.
本文针对一类追求系统得益最大化的协作团队的学习问题，基于随机博弈的思想，提出了一种新的多Agent协同强化学习方法。 - Bases on the analysis of the meaning of dynamic customer relationship management ( DCRM), it gives the technology of modeling and solving DCRM by combining the stochastic game theory and ESDP.
在分析DCRM内涵的基础上，利用随机博弈及ESDP理论，给出了DCRM建模技术及求解思路。 - We study dynamic measure of risk problem in incomplete market when stock appreciation rates are uncertainty. We also study a related stochastic game problem.
本文讨论不完全市场中股票收益率不确定时的动态风险度量问题和一个相关的随机对策问题。 - Stochastic Assigning Model of Aiding the Poor Game
济贫问题的随机分配模型 - The uncertain factors in electricity market that power generation companies will face with are analyzed, then a stochastic game model is built to realize bidding equilibrium of active power among these companies and a concept of virtual unit is led in to quantitatively calculate the energy shortage.
分析了市场环境下发电商面临的不确定性因素，建立了发电厂出力与报价均衡的随机博弈模型，引入了虚拟机组的概念对能源短缺进行定量计算。 - It presents a method of designing the optimal reward programs in a dynamic environment where customers and firm both maximize their benefit by using stochastic game theory and estimable structural dynamic programming technologies.
利用随机博弈及可评估的结构动态规划技术，提出一种使公司及客户利益都最大的最优回报计划的设计方法。 - In game theory, stochastic cooperative game have received a generous concern and become a research focus.
对策论中，随机合作对策已逐渐成为研究的热点，并受到了广泛的关注。 - The form of the worst-case disturbances and the optimal controls are firstly obtained by solving a stochastic differential game problem with undetermined cost function. The cost function is then determined by the requirement of minimizing the maximal Lyapunov exponent of the controlled system in worst case.
通过求解一个具待定成本函数的随机微分对策问题确定系统的最坏情况扰动及相应的最优控制的形式，然后以最坏扰动下最优控制系统的最大Lyapunov指数最小为准则确定成本函数。 - We model attacker and defender as two players, non-cooperative stochastic game, and detailed describe the formal definition of the model and its component elements.
将网络攻防双方建模为二人非合作攻防随机博弈模型，并详细地描述了该模型的形式化定义及其构成元素。 - At last, we show the application of the stochastic differential game by an applicable example.
最后通过一个小的例子来阐述随机微分对策的应用。 - In this paper, we mainly study partially observed stochastic control systems and their applications to linear quadratic optimal control, differential game and optimal portfolio choice problems.
本文研究了部分可观测的随机控制系统及在线性二次最优控制，微分对策和最优投资组合选择等问题中的应用。 - The relation of the literature and this paper is expounded and this paper points out four research problems based on the literature review. Then, cooperative advertising between one manufacturer and one retailer is researched and the stochastic differential game model is developed in chapter 3.
在此基础上，阐述了本文与现有文献的联系，并指出了本文四个方面研究的切入点。第三章研究了一个制造商和一个零售商的合作广告问题。 - The most extensively studied problem in stochastic cooperative game theory is how to divide the total earnings of the grand coalition under the condition that the payoff is uncertain.
在随机合作对策中得到了广泛研究的就是在不确定支付条件下，局中人如何分配大联盟的赢得。 - Moreover, the optimal strategies are completely different between the case based on maximizing expected utility criteria and based on minimizing ruin probability criteria. ( III) We study the problem of optimal investment with model risk based on the stochastic differential game approach.
并且，基于最小化破产概率准则与基于最大化终止时刻财富期望效用准则的最优投资策略截然不同。（3）基于随机微分博弈方法，研究了存在模型风险时的最优投资决策问题。 - A new attack-defense stochastic game model is proposed to describe the states dynamically change and address the issue of optimal defense strategy selection.
提出了一种刻画网络安全攻防矛盾动态变化，解决最优防御策略选取问题的攻防随机博弈模型。 - Then we study the stochastic differential portfolio games in the case that the two investors can invest in both of the two risky assets and the bank account. By using stochastic linear-quadratic control approach, we obtain the closed-form solutions to the game problems.
然后研究了两个投资者可投资于两种风险资产和一个无风险资产的投资组合博弈问题，应用线性二次控制方法得到该问题的显示解。