M's repositories
AutomotiveSensors.jl
sensor models for AutomotiveDrivingModels.jl
AutomotiveSimulator.jl
Package for automotive simulation in julia
Basics-of-RL
Q-Learning
dueling-DQN-pytorch
very easy implementation of dueling DQN in pytorch
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
algorithmsbook
Preview of the textbook Algorithms for Decision Making
apollo
An open autonomous driving platform
cs229-sols
My python solutions to the problem sets in Andrew Ng's [http://cs229.stanford.edu/](CS229 course) for Fall 2016.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
do-mpc
Model predictive control python toolbox
dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
DRL_based_SelfDrivingCarControl
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
gym
A toolkit for developing and comparing reinforcement learning algorithms.
gym-graph-traffic
Road traffic simulator for OpenAI Gym
highd_trajectories
plotting trajectories for the HighD data set of highway traffic
highway-env
A minimalist environment for decision-making in autonomous driving
hmm
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
KestrelFPV
Quadcopter racing simulator made with Unity3D
Learn-Datascience-For-Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
lidar-montecarlo-pathplanning
CS 598 Final Project: Self Driving using Path Planning with Monte Carlo Tree Search on Lidar Data
machine_learning_examples
A collection of machine learning examples and tutorials.
My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
policy-value-methods
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
tetris_mcts
MCTS project for Tetris
Youtube-Code-Repository
Repository for most of the code from my YouTube channel