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Accompanying repository for Let's make a DQN / A3C series.
CommNet and BiCnet implementation in tensorflow
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
A toolkit for developing and comparing reinforcement learning algorithms.
记录一下自己是怎么一步一步地开始学习强化学习的,会从刚开始的一些基础知识再到论文的一些讲解
Deep Reinforcement Learning for Keras.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等
Robotic Order Fulfillment System Using Kiva-like mobile robots. Conflict-based Search multi-robot path planning.
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
A SimPy-based Discrete Event Simulator for a relay node in a payment channel network using different submarine swap rebalancing policies, including one based on Deep Reinforcement Learning.
A SimPy-based Discrete Event Simulator for payment scheduling in a payment channel.
StarCraft II Learning Environment
A simulation framework for Robotic Mobile Fulfillment Systems
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Simple Reinforcement learning tutorials
Reinforcement learning tutorials
Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic queueing system of a manufacturing unit
SMAC: The StarCraft Multi-Agent Challenge
This is a multi agent reinforcement learning system using SUMO for large scale traffic light control
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.