无人驾驶 - tedrepo/SimDial GitHub Wiki

Udacity_Robotics_cs373 https://github.com/zxsted/Udacity_Robotics_cs373

CS373-Programming-a-Robotic-Car https://github.com/rieder91/CS373-Programming-a-Robotic-Car

ICP（迭代最近点）算法 https://www.cnblogs.com/21207-iHome/p/6038853.html

https://github.com/ClayFlannigan/icp

SDC_3D_Simulator https://github.com/tedrepo/SDC_3D_Simulator

https://github.com/ivmech/ivPID/blob/master/PID.py

https://github.com/gasagna/mpc

https://github.com/pierre-haessig/python-dmpc

https://github.com/BrechtBa/mpcpy

https://github.com/thepnpsolver/PyPNP

https://github.com/smeschke/pnp

https://github.com/memorydump85/pyslam
Basic Sparse-Cholesky Graph SLAM solver implemented in python

https://github.com/b4sgren/GraphSLAM

https://github.com/sauravag/py_slam_dataset

https://github.com/knagara/SLAMwithCameraIMUforPython

https://github.com/jfjensen/SLAM Python files for SLAM course by Claus Brenner

https://github.com/zxsted/lspi-python https://github.com/zxsted/lspi-python

https://github.com/zxsted/LSPI Least-Squares Policy Iteration

强化学习笔记06-函数逼近 http://bourneli.github.io/reinforcement-learning/2017/11/11/rl-learning-06-function-approximation.html

一文看懂任务型对话中的对话策略学习（DPL） https://ai.yanxishe.com/page/blogDetail/9690

一文看懂任务型对话系统中的状态追踪（DST） https://ai.yanxishe.com/page/blogDetail/9572

https://github.com/tedrepo/donkey_rl

https://flyyufelix.github.io/2018/09/11/donkey-rl-simulation.html

https://github.com/zxsted/noreward-rl

https://github.com/tedrepo/learning-to-drive-in-a-day

https://github.com/tedrepo/NNDIAL

https://github.com/zxsted/Generative-Models

https://github.com/zxsted/VAE-generator

https://github.com/minizhao/GAN-for-text

https://github.com/minizhao/LeakGAN

https://blog.csdn.net/cxx654/article/details/81837008 信息熵、相对熵、交叉熵公式及tensorflow代码

https://www.cnblogs.com/hxjbc/p/8241373.html TensorFlow的初次使用+Python画3D图和计算KL散度

https://www.w3cschool.cn/tensorflow_python/tensorflow_python-6t8228wb.html TensorFlow 估计ELBO和KL散度中出现的比值

https://www.leiphone.com/news/201704/8ofqhd0UEJVjgWHv.html 任务驱动的多轮对话究竟该如何实现？

端到端的任务型文章，Mem2Seq: https://ziyaochen.github.io/2018/07/09/Mem2Seq-in-task-Oriented-dialogue/

https://zhuanlan.zhihu.com/p/27399471 《Latent Intention Dialogue Models》阅读笔记

https://zhuanlan.zhihu.com/p/27470864 从ACL论文理解belief tracking

Tensorflow下VAE（变分自动编码器）在MNIST数据集下的实验 https://blog.csdn.net/SweetSeven_/article/details/80820945

https://github.com/tedrepo/tf-nlp-blocks Some frequently used NLP blocks I implemented

https://zhuanlan.zhihu.com/p/27832693 ACL2017 对话交互系统论文速览（二）

Berkeley CS294-112 深度增强学习 https://zhuanlan.zhihu.com/c_150977189

Train a Reinforcement Learning agent to play custom levels of Sonic the Hedgehog with Transfer Learning https://flyyufelix.github.io/2018/06/11/sonic-rl.html

https://kore.ai/use-cases-hr/

https://blog.kore.ai/what-goes-into-making-a-successful-nlp-design-for-chatbots

https://github.com/zxsted/cs373-roboticCars

https://github.com/tedrepo/roboticCar

https://github.com/tedrepo/RoboticCar-1

http://www.52opencourse.com/211/

如何在Unity环境中用强化学习训练Donkey Car https://www.itcodemonkey.com/article/9404.html

RNN 循环神经网络系列 4: 注意力机制 https://juejin.im/post/59f72f61f265da432002871c

https://github.com/GokuMohandas/the-neural-perspective/blob/master/recurrent-neural-networks/seq-seq/attention/model.py

https://github.com/xitu/gold-miner/blob/master/TODO/recurrent-neural-network-rnn-part-4-attentional-interfaces.md

卷积后的图片大小计算 https://blog.csdn.net/qq_25964837/article/details/79072079

tensorflow中卷积方式SAME和VALID特征图大小计算 https://blog.csdn.net/dcrmg/article/details/82317096

反卷积和卷积的输出和输入尺寸关系 https://blog.csdn.net/CV_YOU/article/details/83212861

tensorflow中卷积参数same和valid运算之后的维度计算公式 https://blog.csdn.net/LinFengOnlyOne/article/details/81092570

bleu ： https://github.com/lipiji/neural-dialogue-s2s-weibo-py3/blob/master/bleu.py