vietanhle0101's repositories
MPC-BayesOpt-Mixed-Traffic
Code for simulations of my ACC paper
homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
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"
CILQR-merging
Stochastic Optimal Control term project
crazyswarm
A Large Quadcopter Swarm
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
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
DeepLearningWithJulia
The Deep Learning with Julia book, using Flux.jl.
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
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
interaction-safety-aware-motion-planning
Implementation of interaction and safety-aware motion planning
LaneChanging_HDVs
The repo for simulations on lane-changing control for CAVs in mixed traffic
optimized_dp
Optimizing Dynamic Programming-Based Algorithms
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ReinforcementLearning.jl
A reinforcement learning package for Julia
ros2-vicon-receiver
Vicon Receiver for ROS2
safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
TrajectoryOptimization.jl
A fast trajectory optimization library written in Julia
vietanhle0101
Config files for my GitHub profile.