搜索资源列表
ReinforcementLearning
- A matlab code for a reinforment learning routing problem-A Matlab code for a reinforment learning ro uting problem
ReinforcementLearning
- A matlab code for a reinforment learning routing problem-A Matlab code for a reinforment learning ro uting problem
q-learning
- 强化学习的q学习算法,能够通过此算法，使得某种动作不断得到加强，希望对那些想使用Q学习算法的人有所帮助-ReinforcementLearning Q learning
ReinforcementLearning
- q学习算法的一个例程，上传与大家分享一下-q learning algorithm, a routine, upload to share with you some
ReinforcementLearning
- 这是机器学习里面的强化学习的重要资料，主要介绍了强化学习的基本理论及实验和分析-This is inside the machine learning reinforcement learning important information, which mainly describes the basic theory of reinforcement learning and experimental and analytical
ReinforcementLearning
- 增强学习Matlab源吗,对机器学习,在线控制的人有所帮助-Matlab source you enhance the learning of machine learning, online help people control
ReinforcementLearning
- 强化学习的原代码还可以的 -The original source of reinforcement learning reinforcement learning can also be in the original code
ReinforcementLearning
- 强化学习算法的MATLAB仿真实例，希望能够对大家有帮助.-Q-learning algorithm of MATLAB simulation examples，wish it can help you.
ReinforcementLearning
- 增强学习的一个代码实例，希望对初学者有些作用，代码简单易懂，还附有注释。-Enhance learning code examples for beginners hope some effect, the code is simple to understand, but also with comments.
ReinforcementLearning
- 里面有个例子供大家参考。关于强化学习，希望共同学习共同进步。-Reinforcement Learning
ReinforcementLearning-master-(1)
- 强化学习 机器学习语言 matlab试用程序-Reinforcement Learning-master
ReinforcementLearning
- 利用MATLAB实现Q学习，简单易懂，欢迎大家下载(Using MATLAB to implement Q learning)
ReinforcementLearning
- 马尔卡夫决策过程理论定义了一个数学模型，可用于随机动态系统的最优决策过程。 强化学习利用这个数学模型将一个现实中的问题变成一个数学问题。 强化学习就是：追求最大回报G 追求最大回报G就是：找到最优的策略π?。 策略π?告诉在状态s，应该执行什么行动a。 最优策略可以由最优价值方法v?(s)或者q?(s,a)决定(The Markov decision process theory defines a mathematical
ReinforcementLearning
- 用强化学习方法解决简单的走迷宫问题，得到智能体的最优路径(Using reinforcement learning to solve simple maze problem)