zhuanghb3's Stars
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
starry-sky6688/MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
glong1997/MultiAgentLearning
多智能体学习库
cheryyunl/Paper-List-of-MARL
A new paper list for multi-agent reinforcement learning (actively maintained)
godka/Advanced-Soft-Actor-Critic
Soft Actor-Critic with advanced features
ThousandOfWind/DRL-baseline
Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
adithya-subramanian/Multi_Agent_Soft_Actor_Critic
A Pytorch Implementation of Multi Agent Soft Actor Critic
kantologist/multiagent-sac
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
DongChen06/MARL_CAVs
MARL for Autonomous Vehicles
wkentaro/RVSS2019-WS
Repo for the workshop part of the Australian Centre for Robotic Vision Summer School RVSS2019
mmc-maodun/Data-Structure-And-Algorithm
Data Structure And Algorithm（常用数据结构与算法C/C++实现）
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
pytorch/tutorials
PyTorch tutorials.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
xtaci/algorithms
Algorithms & Data structures in C++.
Light-City/CPlusPlusThings
C++那些事
savinay95n/Reinforcement-learning-Algorithms-and-Dynamic-Programming
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL controller have been integrated with a Swing up controller. A virtual switch toggles between the Swing up controller and the RL controller automatically, based on the value of the angular deviation theta with respect to the vertical plane. My research paper and my undergraduate thesis have been uploaded for reference. All the codes have also been uploaded.
matlab-deep-learning/reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
wuwuwuxxx/Reinforcement-Learning-An-introduction
solutions to the examples and exercises
wwxFromTju/awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
kunqian2025/reinforcement-learning
Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
huawei-noah/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Codecademy/learn-cpp
Codecademy | Learn C++
liyanluminary/Modeling-and-Simulation-of-MATLAB-Simulink-Communication-System
详解MATLAB Simulink通信系统建模与仿真 刘学勇编著 源码
CheKaiWei/Robot-Cluster-Control
Cluster robot with Matlab