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deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

javacollection

Java开源项目之「自学编程之路」：学习指南+面试指南+资源分享+技术文章

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

meta-rl

Implementation of Meta-RL A3C algorithm

parl

A high-performance distributed training framework for Reinforcement Learning

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl

springmvc-source-minibook

📚 a mini book for analysis springmvc

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

zheng

基于Spring+SpringMVC+Mybatis分布式敏捷开发系统架构，提供整套公共微服务服务模块：集中权限管理（单点登录）、内容管理、支付中心、用户管理（支持第三方登录）、微信平台、存储系统、配置中心、日志分析、任务和通知等，支持服务治理、监控和追踪，努力为中小型企业打造全方位J2EE企业级开发解决方案。