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ai-blog

Accompanying repository for Let's make a DQN / A3C series.

commnet-bicnet

CommNet and BiCnet implementation in tensorflow

deep-learning-with-tensorflow-book

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.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

deeplearning

dqn-multi-agent-rl

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

how-do-i-learn-rl

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

keras-rl

Deep Reinforcement Learning for Keras.

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marl

多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等

multi-agent-path-finding-in-warehouse

Robotic Order Fulfillment System Using Kiva-like mobile robots. Conflict-based Search multi-robot path planning.

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

parametersharingmadrl

payment-channel-rebalancing

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.

payment-channel-scheduling

A SimPy-based Discrete Event Simulator for payment scheduling in a payment channel.

pysc2

StarCraft II Learning Environment

rawsim-o

A simulation framework for Robotic Mobile Fulfillment Systems

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-algorithms

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)

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

Reinforcement learning tutorials

simulation

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

SMAC: The StarCraft Multi-Agent Challenge

sumo-multiagent

This is a multi agent reinforcement learning system using SUMO for large scale traffic light control

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥