文件名称：强化学习动态规划
文件大小：2.83MB
文件格式：ZIP
更新时间：2021-04-22 03:56:15
强化学习 动态规划 MATLAB
Comparison of Reinforcement Learning Algorithms applied to the Cart-Pole Problem，APPLICATION OF REINFORCEMENT LEARNING ALGORITHMS TO OPTIMIZATION AND CONTROL PROBLEMS 论文实现代码
【文件预览】：
Reinforcement-learning-Algorithms-and-Dynamic-Programming-master
----cartPole.m(1KB)
----QLearningCartPole.m(4KB)
----QSwingUp.m(4KB)
----README.md(1KB)
----QLearningCartPoleLeastTrials.m(4KB)
----getBox5.m(2KB)
----SarsaLearningCartPole.m(4KB)
----SarsaLearningCartPoleThetaCheck.m(4KB)
----Final year project report final draft.pdf(2.18MB)
----getBox.m(1KB)
----SwingUpController.m(527B)
----SarsaLearningCartPoleSwingUp.m(4KB)
----linfun1SwingUp.m(4KB)
----CartPoleLearningSystem.m(5KB)
----getBox6.m(1KB)
----takeAction2.m(293B)
----getBox2.m(2KB)
----probPushRight.m(90B)
----JacksCarRentalProblem.m(6KB)
----QLearningCartPoleThetaCheck.m(4KB)
----getBox3.m(1KB)
----getBox4.m(1KB)
----SwingUpController2.m(388B)
----cmpt_P_and_R.m(1KB)
----linfun1.m(3KB)
----cart_pole2.m(977B)
----Final Paper_RL on Control1570364775.pdf(954KB)
----SarsaLearningCartPoleLeastTrials.m(4KB)
----cart_pole.m(1KB)