vietanhle0101's Projects
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
ALGAMES: Game Theoretic Solver for Trajectory Optimization
A set of tools to quickly generate and visualize autonomous driving scenarios for Algames.jl.
Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
The repo for Automatica paper on Distributed algorithm for MIQP
Automatic Tuning for Data-driven Model Predictive Control
Implementation of a highway merging scenario
Notebooks related to Bayesian methods for machine learning
Stochastic Optimal Control term project
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
The Deep Learning with Julia book, using Flux.jl.
Skeleton codes for F110 Fall 2018 course at UPenn
Skeleton code for the ESE 680 Autonomous Vehicles F110 Course
The repo for real racing f110 car control
My repo for learning f110 racing car with simulator
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
Simulator for interacting dynamical systems using generalized potential games
OpenAI Gym Environment for Traffic Control
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
Iterative Linear-Quadratic Games!
Repo for information about CS502 Graduate Course: Software Development Methodologies @ NAU
Implementation of interaction and safety-aware motion planning