Pinned Repositories
AA203-Examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Algames.jl
ALGAMES: Game Theoretic Solver for Trajectory Optimization
AlgamesDriving.jl
A set of tools to quickly generate and visualize autonomous driving scenarios for Algames.jl.
autompc
Automatic Tuning for Data-driven Model Predictive Control
homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
LaneChanging_HDVs
The repo for simulations on lane-changing control for CAVs in mixed traffic
MARL_CAVs
Multi-agent Reinforcement Learning for Autonomous Vehicles
MPC-BayesOpt-Mixed-Traffic
Code for simulations of my ACC paper
RacingLMPC
Implementation of the Learning Model Predictive Controller for autonomous racing
vietanhle0101's Repositories
vietanhle0101/MPC-BayesOpt-Mixed-Traffic
Code for simulations of my ACC paper
vietanhle0101/autompc
Automatic Tuning for Data-driven Model Predictive Control
vietanhle0101/homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
vietanhle0101/LaneChanging_HDVs
The repo for simulations on lane-changing control for CAVs in mixed traffic
vietanhle0101/MARL_CAVs
Multi-agent Reinforcement Learning for Autonomous Vehicles
vietanhle0101/AA203-Examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
vietanhle0101/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
vietanhle0101/ALPaCA
Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
vietanhle0101/Automatica_2024_Distributed_MIQP
The repo for Automatica paper on Distributed algorithm for MIQP
vietanhle0101/CILQR-merging
Stochastic Optimal Control term project
vietanhle0101/databook_python
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
vietanhle0101/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
vietanhle0101/DeepLearningWithJulia
The Deep Learning with Julia book, using Flux.jl.
vietanhle0101/ff1rr_sim
My repo for learning f110 racing car with simulator
vietanhle0101/GPG-drive
Simulator for interacting dynamical systems using generalized potential games
vietanhle0101/Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
vietanhle0101/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
vietanhle0101/hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
vietanhle0101/ilqgames
Iterative Linear-Quadratic Games!
vietanhle0101/interaction-safety-aware-motion-planning
Implementation of interaction and safety-aware motion planning
vietanhle0101/MPC-PEARL
Implementation of MPC-PEARL
vietanhle0101/optimized_dp
Optimizing Dynamic Programming-Based Algorithms
vietanhle0101/Reach-Avoid-Games
vietanhle0101/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
vietanhle0101/ReinforcementLearning.jl
A reinforcement learning package for Julia
vietanhle0101/ros2-vicon-receiver
Vicon Receiver for ROS2
vietanhle0101/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
vietanhle0101/TrajectoryOptimization.jl
A fast trajectory optimization library written in Julia
vietanhle0101/vietanhle0101
Config files for my GitHub profile.
vietanhle0101/vietanhle0101.github.io