stillll Goto Github PK

codinginterviewchinese2

《剑指Offer》第二版源代码

deep-successor-features-for-transfer

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

dqn_sr

Count based exploration with the successor representation for Unity ML's Pyramid

draw

dsr-1

Reproduction of Deep Successor Representation Network

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

magent

A Platform for Many-agent Reinforcement Learning

models

Models and examples built with TensorFlow

multi-agent-reinforcement-learning-using-group-decision-making-method

multi-agent reinforcement learning using group decision making method

pdf

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

python-

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

sf-deep-rl

Project on Successor Features in Deep Reinforcement Learning and Transfer Learning

tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

timeseriesforecasting

基于统计学的时间序列预测(AR,ARM).

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

wh