Empirically learned congestion control by imitation learning with RNNs

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

Code for hierarchical imitation learning and reinforcement learning

ICML 2018 Self-Imitation Learning

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approxim…

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Safe reinforcement learning with stability guarantees

A MATLAB system for disciplined convex programming

Code for Convex Optimization for Long-term Eco-driving of Fuel Cell Hybrid Electric Vehicles on Signalized Corridors

Reinforcement Learning with Model Predictive Control

All the code needed to learn models from data using Koopman operator approach.

Automatic Tuning for Data-driven Model Predictive Control

Implementation of Hindiyeh 2014, "A Controller Framework for Autonomous Drifting: Design, Stability, and Experimental Validation"

Autonomously drifting car that learned how to drift in a roundabout using Deep Reinforcement Learning and the Carla Simulator. Performed as part of a project in the course TSFS12: Autonomous vehicl…

Data-Driven Predictive Control

Data Driven Reachability Analysis from Noisy Data

Software for Data-driven Model Predictive Control of 3-DoF Helicopters

The repository implements some decision-making and contingency planning (contingency model predictive control) methods.

Contingency Model Predictive Control for Linear Time-Varying Systems

This package is designed for the paper "Cooperative Distributed Model Predictive Control for 2-D Vehicle Platoons Based on Iterative Learning from a Smart Logistics Perspective"

Use Iterative Learning Control (ILC) for trajectory tracking task with the existence of model mismatch. Model Predictive Control (MPC) is also used for comparison.