高度信息化的网格化城市管理可以为出租车运营优化提供新的实时动态乘客需求信息和车辆位置信息。以此为契机，针对城市出租车空驶率高和司乘匹配率低的问题，提出了一种网格化的出租车实时动态调度的增强学习控制方法。通过为出租车提供空驶巡游的动态最佳路线，新的控制方法旨在提高出租车的服务效率，并降低乘客的等待时间。首先，以城市单元网格为基础，明确出租车调度的关键问题；其次，以空驶路线的动态调整为控制手段，建立调度的增强学习模型；最后，给出求解模型的Q学习算法，并通过算例验证新调度方法的有效性。研究表明新方法可以有效提高司乘匹配率、增加总的出租车运营收入、减少乘客平均等车时间和总的出租车空驶时间。

基于Deep Reinforcement Learning的自主车辆导航

Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. In this survey, we provide an in-depth review of the role of Bayesian methods for the reinforcement learning (RL) paradigm. The major incentives for incorporating Bayesian reasoning in RL are: 1) it provides an elegant approach to action-selection (exploration/ exploitation) as a function of the uncertainty in learning; and 2) it provides a machinery to incorporate prior knowledge into the algorithms. We first discuss models and methods for Bayesian inference in the simple single-step Bandit model. We then review the extensive recent literature on Bayesian methods for model-based RL, where prior information can be expressed on the parameters of the Markov model. We also present Bayesian methods for model-free RL, where priors are expressed over the value function or policy class. The objective of the paper is to provide a comprehensive survey on Bayesian RL algorithms and their theoretical and empirical properties.

Richard Sutton’s & Andrew Barto’s Reinforcement Learning: An Introduction (2nd Edition) book.

这本书代表了当前世界在Reinforcement Learning领域的研究前沿

用matlab实现增强学习

状态：活动（在活动开发中，可能会发生重大更改） 该存储库将实现经典且最新的深度强化学习算法。 该存储库的目的是为人们提供清晰的pytorch代码，以供他们学习深度强化学习算法。 将来，将添加更多最先进的算法，并且还将保留现有代码。 要求 python <= 3.6 张量板 体育馆> = 0.10 火炬> = 0.4 请注意，tensorflow不支持python3.7 安装 pip install -r requirements.txt 如果失败： 安装健身房 pip install gym 安装pytorch please go to official webisite to install it: https://pytorch.org/ Recommend use Anaconda Virtual Environment to manage your packages 安装tensorboardX pip install tensorboardX pip install tensorflow==1.12 测试 cd Char10\ TD3/ python TD3

增强学习导论 强化学习导论 Reinforcement learning an introduction 中文版

Algorithms for Reinforcement Learning PDF+PPT

https://github.com/Unity-Technologies/ml-agents，Github上可以直接下载，介于国内Github网速太慢，上传一个下载好的。