• Stars
    star
    1
  • Language
    C++
  • Created almost 4 years ago
  • Updated over 3 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

C++机房预约系统

More Repositories

1

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.
Python
189
star
2

awesome-reinforcement-learning

Learning Resources And Links Of Reinforcement Learning (updating)
Python
178
star
3

code-of-csdn

csdn上面的一些相关代码
Python
107
star
4

Opencv-Computer-Vision-Practice-Python-

Opencv 计算机视觉实战
Python
101
star
5

awesome-Robot-Operating-Syetem

Learning Resources And Links Of Robot Operating System(updating)
63
star
6

control-of-jump-systems-based-on-reinforcement-learning

Code for the paper “Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning”
Python
16
star
7

GPTStore

轻松构建自定义GPT助手,GPTStore。
Python
14
star
8

Algorithms_Note

算法工程师技术栈学习笔记
Jupyter Notebook
14
star
9

Resource-Of-Wechate

个人公众微信号上的资源
Python
6
star
10

Erlang-planning-network

Implementation of the paper "Erlang planning network: An iterative model-based reinforcement learning with multi-perspective".
Python
6
star
11

Demo-Of-Few-Shot-Learning

some basic demo of few-shot learning
Python
4
star
12

XuanJing

XuanJing is a benchmark library of decision algorithms for reinforcement learning, imitation learning, multi-agent learning and planning algorithms.
Python
3
star
13

IELTS_100_Sentence

100局句子记完雅思7000个雅思单词
3
star
14

face_recognition

人脸识别示例代码
Python
3
star
15

torch_optimizer_visualizations

Visualize PyTorch's Optimizers.
Python
1
star
16

Theorem_In_RL_And_Game

Video Material of Reinforcement Learning and Algorithm Game Theory in Bilibili.
1
star
17

Cross-entropy-method-Series

Implementing various cross-entropy methods
Python
1
star
18

code-of-reinforcement-learning

强化学习算法实现
Python
1
star
19

circuit-sat

The un-official implementation of ICLR 2019 paper: Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach.
Python
1
star
20

AINews

1
star
21

Course-notes

Here are some notes I took during my own deep learning, machine learning sessions
1
star