mgilgamesh's repositories
football
Check out the new game server:
awesome-game-ai
Awesome Game AI materials of Multi-Agent Reinforcement Learning
MAProj
Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
Multi-Agent-Reinforcement-Learning-Environment
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
RL_arm_under_sparse_reward
A reinforcement learning project for robotic arm under sparse reward
pyanime4k
An easy way to use anime4k in python
DRL
Deep Reinforcement Learning
Financial-Knowledge-Graphs
小型金融知识图谱构建流程
pymarl
Python Multi-Agent Reinforcement Learning framework
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
vue-element-admin
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin
Python-1
All Algorithms implemented in Python
s2client-proto
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
Vue.NetCore
.NetCore+Vue，前后端分离，支持前后端业务代码扩展的快速开发框架，Vol.Vue为前端项目，Vue.Net后台项目
Neural-SLAM
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
StarCraft
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
DeepRL_PyTorch
Deep Reinforcement learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
DRL-Continuous-Control
Project in Deep Reinforcement Learning Udacity - applying DDPG for continuous action space
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
PathPlanning
Common used path planning algorithms with animations.
Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
torch-light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
ChineseChess-AlphaZero
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
SLAM_file
研究生slam的杂项
egg-pancake
掼蛋AI