201705/uO8nd09EnR77NBRP.html 【课程】 零基础入门:莫烦python:https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning Freitas的深度学习课程 (有视频有ppt有作业):Machine Learning Michael Littman的增强学习课程:https://www.udacity.com/course/reinforcement-learning–ud600
GitHub地址: https://github.com/dennybritz/reinforcement-learning
GitHub地址: https://github.com/dennybritz/reinforcement-learning
参考:https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning/
传送门: https://github.com/dennybritz/reinforcement-learning — 完 — 推荐阅读 GitHub趋势榜第一:TensorFlow+PyTorch深度学习资源大汇总
这些都可以在 Github repository 中找到:https://github.com/dennybritz/reinforcement-learning。
silver_reinforcement_learning/] 9.强化学习教程(莫烦) [https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning github.com/halleanwoo/ReinforcementLearningCode] 4.reinforcement-learning [https://github.com/dennybritz/reinforcement-learning
cloud.tencent.com/developer/article/1835263 https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning
https://github.com/dennybritz/reinforcement-learning 2.9 Google Brain团队的Magenta项目 https://github.com/
用于对象检测和分割的快速蒙版RCNN;地址:https://github.com/CharlesShang/FastMaskRCNN 2.8 强化学习;地址:https://github.com/dennybritz/reinforcement-learning
Reinforcement Learning PAC-Bayesian Model Selection for Reinforcement Learning Interval Estimation for Reinforcement-Learning
GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte
asynchronous-actor-critic-agents-a3c-c88f72a5e9f2 https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning
完整的代码参见我的github: https://github.com/ljpzzz/machinelearning/blob/master/reinforcement-learning/ddqn.py
https://github.com/rlcode/reinforcement-learning/blob/master/2-cartpole/5-a3c/cartpole_a3c.py ?
Teaching.html Everything You Need to Know to Get Started in Reinforcement Learning https://joshgreaves.com/reinforcement-learning introduction-to-reinforcement-learning/ Understanding RL: The Bellman Equations https://joshgreaves.com/reinforcement-learning
面向物体识别和语义分割的快速掩膜RCNN 地址: https://github.com/CharlesShang/FastMaskRCNN 2.8 强化学习 地址: https://github.com/dennybritz/reinforcement-learning
并将网络结构改为上图中右边的Dueling DQN网络结构,完整的代码参见我的github: https://github.com/ljpzzz/machinelearning/blob/master/reinforcement-learning
Learning (https://www.quora.com/pinned/Deep-Learning) Reinforcement Learning (https://www.quora.com/pinned/Reinforcement-Learning
https://arxiv.org/pdf/1511.06581.pdf 2、莫烦大神博客:https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning