HineWAN's repositories
Dynamic-Programming-with-Matlab
Model predictive control of hybrid electric vehicles is achieved by using dynamic programming operating over a shortened horizon time interval.
Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Constraint_RL_MPC
Safe control of unknown dynamic systems with reinforcement learning and model predictive control
ctrl-foundation
Control and reinforcement learning foundation
deep-rules
Ten Quick Tips for Deep Learning in Biology
do-mpc
Model predictive control python toolbox
dynamic-programming-and-optimal-control-lecture
Dynamic Programming and Optimal Control (151-​0563-01) Fall 2019 Programming Exercise
dynamics_on_manifolds
Symbolic Computation of Dynamics on Smooth Manifolds
learningbydoing-comp
LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
lyapunov-learning
Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
markov-state-abstractions
Image-based gridworld experiment for learning Markov state abstractions
mbvi
Moment Based Variational Inference for Markov Jump Processes
model-predictive-control-lecture
Model Predictive Control Lecture (151-0660-00) Spring 2019 Programming Exercise
predictive_and_self_triggering
Vehicle platooning example for predictive and self triggering
PS_thesis
Paul's Master Thesis
pstc
A Matlab implementation of preventive self-triggered control
resource_constrained_predictive_triggering
Predictive Triggering Framework for Distributed Control of Resource Constrained Multi-agent Systems
RL_GYM
A repo for Reinforcement Learning with GYM
Robotics-Planning-Dynamics-and-Control
RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.
Safe-Online-Learning-for-Gaussian-Processes
The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas Umlauft and Sandra Hirche published in IEEE Transactions on Automatic Control in 2020.
safe_learning
Safe reinforcement learning with stability guarantees
self-triggered-control
Simulation examples from "To sample or not to sample: Self-triggered control for nonlinear systems"
Toward-Multi-Agent-Reinforcement-Learning-for-Distributed-Event-Triggered-Control
Repository for the paper belonging to https://sites.google.com/view/learning-distributed-etc/start