Stars
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
A toolkit for testing control and planning algorithm for car racing.
Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control
Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718
Python car simulator - controlled with keyboard input and based on Dubins model
A Python implementation of global optimization with gaussian processes.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
britig / autodrive_ddpg
Forked from ankur-rc/autodrive_ddpgAutonomous Driving on Carla simulator using Deep Deterministic Policy Gradients. Based on Kendall, et. al. 2018.
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Google Research
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Repo for the Deep Reinforcement Learning Nanodegree program
tambetm / botmobile
Forked from lanquarden/pyScrcClientA python client for the Simulated Car Race Championship
A python client for the Simulated Car Race Championship
Interpretable ML package designed to explain any machine learning model.
Models and examples built with TensorFlow
A crash course in six episodes for software developers who want to become machine learning practitioners.