zcchenvy

CIL-DDQN

code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》

MLBC-DQN

code for paper 《Advertising Impression Resource Allocation Strategy with Multilevel Budget Constraint DQN in Real-Time Bidding》

Data-Structure

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析

MaCA

smac

SMAC: The StarCraft Multi-Agent Challenge

attention

some attention implements

C-Plus-Plus

All Algorithms implemented in C++

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

Data-Structures-and-Algorithms-in-C

所有基础数据结构和算法的纯C语言实现，如各自排序、链表、栈、队列、各种树以及应用、图算法、字符串匹配算法、回溯、并查集等，献丑了

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

Distributed-MADDPG

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

football

Check out the new game server:

JavaProgramming

Java语言程序设计/面向对象程序设计授课资料

KDDCup2021-CityBrainChallenge-starter-kit

MADRL

Repo containing code for multi-agent deep reinforcement learning (MADRL).

MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

marl-patrolling-agents

Project on multi agent reinforcement learning applied on patrolling agents

MPSF-Fast-RL

Using mixed policy successor features for fast rl implementation

Multi-Agent-Reinforcement-Learning-Environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

on-policy

This is the official implementation of Multi-Agent PPO.

Python_MADDPG_SC2LE

My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗

real-nvp

Implementation of Real-NVP in Tensorflow

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)

RL-FlappyBird

Using reinforcement learning to train FlappyBird.

RL_signals

All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/

SCC-rFMQ

transferlearning

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