seungyong-han Goto Github PK

ai504

Programming for AI Practice

controller-design-for-nonlinearsystems-using-lmi-byhan

This repository provides the code about the controller design with a linear matrix inequality (LMI).

ddpg-tensorflow

a simple demo of pendulem control using DDPG algorithm

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deterministic-gail-pytorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

expert-han.github.io

franka_ros

ROS integration for Franka Emika research robots

gans-public

Course notebooks for GANs specializations

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

gp-mpc

MPC with Gaussian Process

iterativelearningcontrol

modelpredictivecontroller-design-for-lpvsystems-using-lmi-byhan

neural-lyapunov-control

Learning Lyapunov functions and control policies of nonlinear dynamical systems

neural-network-lyapunov

Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

neural_lyapunov_redesign

Contains the code for the paper Neural Lyapunov Redesign published at L4DC 2021.

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

nonlinear_model_predictive_control_python_byhan

observer-design-for-ltisystems-using-lmi-byhan

Observer Design with LMI

ode-solver-using-rungekutta-byhan

pimbrl-modify-byhan

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

piml-panda-dynamics-learning-byhan

Dyanmics of Panda (7DOF robot manipulator) is learned by using a physics informed neural network.

pinn

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

pinn-master-modify-byhan

The goal of this repository is to improve the existing PINN.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

robustpinns

safe_learning

Safe reinforcement learning with stability guarantees