Introduction
A0-Mathmatics
Matrix_Calculus
attractor.py
A1-Computer_Science
Algorithm
Bit_Manipulation
Calculator_AST.py
DFS-BFS
Diffie_Hellman_Key_Exchange
Dynamic_Programming
Eight_Queen.py
FullBinaryTreeHeap.py
Trajetory_Search.py
bisect.cc
sort.cc
sort.py
sum
swap
Network
OSI
Programming
Front_End
HTML
split_panes_html
热力图
FrontEnd_html
百度api获取城市坐标.py
Language
C_or_C++
Gramma
argv.cc
inherit.cc
STL
heap.cc
debug
gdb
pthread
Python
DevTools
crash_on_ipy.py
jupyter_hide_code.py
Example
sendmail
attachment.py
pic.py
qq_smtp.py
sendmail.py
argparse_example.py
create_epubook.py
ctypes
cython
keyboard-mouse
logging
ncurses_example.py
pandas
qrcode_example.py
socket
动态修改幻灯片内容
Regular_Expression
Software_Engineering
Design
Factory_Pattern
Learning
A2-Machine_Learning
Algorithms
NatrualLanguageProcessing
Attention
1_Nadaraya_Watson_Kernel_Regression
2_attention
transformer
word2vec
NeuralNetwork
nn_mnist.py
nn_mnist_static.py
ReinforcementLearning
Deep_Reinforcement_Learning
Basics
Q-Learning
Value_Based
Variance
Policy_Gradient
karpathy-pg-pong.py
kvfrans-ddpg.py
my_simple_PG.py
replay_buffer.py
Fine_Tuning
OU-process
cheatsheet.py
step_by_step_q_learning
bandit
Thinking
paperlist
SupportVectorMachine
SMO_Simple
LDA.py
Optimizers
Problems
Imbalance
Tools
PyTorch
Example
SciKit-Learn
tsne.py
TensorFlow
TensorBoard
mnist_with_summaries.py
tensorboard_advanced.py
1-TensorFlow_Cheatsheet
Distributed_tensorflow.py
Duplicate_a_tensorflow_graph
A3-Unix-Like
Bash
bash的高级技巧
Server_Maintenance
scripts
backup_server_data.py
charles-adduser.sh
mv2cron.bash
sendlog.py
AUTO_UPGRADE
QUOTA
SECURITY
Tools
ffmpeg
git
lnav
netcat
tmux
Arch_Linux_Installation
macOS
A4-Control_Theory
OptimalControl_AA203
Lecture_01
Lecture_02
B1-Management
HumanResource
Curriculum_Vitae
2022
2022.en
2022.zh
2024
2024.zh
Interview
2018ST实习收获
2020面试总结
Inwerviewer
ManagementByObject
OKR
SMART
Self-Control
B2-Economics
Principle
Quantitative_Investment
PB_PE
基本概念
C-Traffic
1_Traffic_Control
Objects
Terms
2_Autopilot
2_0_Planning
2_1_Search
2_2_Sampling
X-Photography
1-纽约摄影学院三原则
Y-Academic
论文写作
论文阅读
Z-Sundry
DPT-RP1_Config
2_2_Sampling
概率路线图(PRM),用于替代栅格化的方法建图
随机采样,采样点与近邻形成连接
启发式剪枝:丢弃碰撞点
用搜索算法搜索轨迹
快速搜索随机树(RRT),相比前面网状拓展,这个是树状拓展
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