搜索资源列表
GT.rar
- 利用博弈论进行功率控制分析,利用迭代实现纳什均衡,Use game theory to power control analysis, the use of iteration to achieve Nash equilibrium
ADMtoDMGimP
- 求双矩阵博弈的Nash平衡点,可以避免产生死循环。-Demand pairs of the Nash equilibrium point bimatrix game, can minimize the infinite loop.
Sample_ADP_algorithm
- 基于异步分布式价格(ADP)算法的功率控制matlab仿真,利用梯度算法来达到纳什均衡,求得最优解。-Asynchronous Distributed Price (ADP) power control algorithm matlab simulation, using the gradient algorithm to achieve the Nash equilibrium, get the optimal solution.
npg-nash-equilibrium
- n 人非合作博弈 纳什均衡 基于文章"An Optimization Formulation to Compute Nash Equilibrium in finite Games"的源码-The function npg solves an n-person finite non-co-operative game to compute one sample Nash Equilibrium. It uses an optimization formulation
GT
- 基于博弈论的信道选择与功率控制仿真,在20次迭代后达到纳什均衡-Channel selection and power control simulation based on game theory, after 20 iterations to reach the Nash equilibrium
1
- 本文研究了有限反馈下基于博弈论的联合功率分配与反馈速率控制优化问题。通过建立新的博弈模型,证明了其纳什均衡的存在性。同时,根据功率与反馈速率的关系,提出了一种迭代算法,可快速收敛到博弈不动点。仿真结果表明,联合优化算法的性能优于单单考虑反馈速率的算法。-In this paper, under the limited feedback joint power allocation based on game theory and feedback rate control optimizatio
pinpufenpei
- 基于博弈论的无线电频谱分配MATLAB程序,运用了纳什均衡-Based on the game theory of radio spectrum allocation MATLAB program, the use of Nash equilibrium
遗传算法纳什均衡及参考资料
- 遗传算法求解纳什均衡及参考资料,代码可以运行,不是很完美,但是可以参考(Genetic algorithm for solving Nash equilibrium and reference data)
GameTheory-master
- 运用博弈论,进行机器人避障避障,若多机器人之间存在动态碰撞,利用博弈论构建多机器人之间的动态避障模型,并利用虚拟行动法来解决博弈的求解问题及多Nash 均衡的选择问题,确保每 个机器人 能够快速学习到最优Nash 均衡(robot avoiding if there are dynamic collisions between multi-agents, the game theory is used to construct a dynamic obstacle avoidance mode