搜索资源列表
mtncarMatlab
- 强化学习qlearning编写，回归算法规划轨迹(Reinforcement learning qlearning, return algorithm to plan trajectory)
dqn
- 简单程序，很能说明DQN的运行方式，通过深度网络和Qlearning的结合，训练使得最后小球能移动到最左边(Simple procedures, it can explain the way of DQN, through the combination of deep network and Qlearning, so that the last ball can move to the left.)
Q_Learning
- 实现强化学习交通配时，选取最优的配时方案(To realize the reinforcement learning traffic timing, the optimal timing scheme is selected)
Q-learning
- 强化学习Qlearning简单演示。。。。。。(Reinforced learning Qlearning simple demo)
RBF改进算法的Q-Learing路径规划MATLAB仿真
- 用RBF改进算法的Qlearning算法matlab仿真(Matlab simulation of qlearning algorithm improved by RBF)
Q_learning
- 这是一种简单的网格迷宫问题Q-learning实现(This is a simple Q-learning implementation of grid maze problem)
dqn
- dqn算法，深度Qlearning算法 实现，普通实现，基本完成RL任务(Dqn algorithm, deep qlearning algorithm implementation, common implementation, basically complete RL task)