Pinned Repositories
basic_reinforcement_learning
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Constrained-model-predictive-control-synthesis
A set of m-files that hopefully implements the ideas given in (Lu, Li et al. 2013)
Constraint_RL_MPC
Safe control of unknown dynamic systems with reinforcement learning and model predictive control
ctrl-foundation
Control and reinforcement learning foundation
Data-Driven-Reachability-Analysis
deep-rules
Ten Quick Tips for Deep Learning in Biology
DEHRL
Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
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
self-triggered-control
Simulation examples from "To sample or not to sample: Self-triggered control for nonlinear systems"
HineWAN's Repositories
HineWAN/Dynamic-Programming-with-Matlab
Model predictive control of hybrid electric vehicles is achieved by using dynamic programming operating over a shortened horizon time interval.
HineWAN/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
HineWAN/self-triggered-control
Simulation examples from "To sample or not to sample: Self-triggered control for nonlinear systems"
HineWAN/Constraint_RL_MPC
Safe control of unknown dynamic systems with reinforcement learning and model predictive control
HineWAN/ctrl-foundation
Control and reinforcement learning foundation
HineWAN/Data-Driven-Reachability-Analysis
HineWAN/deep-rules
Ten Quick Tips for Deep Learning in Biology
HineWAN/derl
HineWAN/DJL
HineWAN/do-mpc
Model predictive control python toolbox
HineWAN/dynamic-programming-and-optimal-control-lecture
Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise
HineWAN/dynamics_on_manifolds
Symbolic Computation of Dynamics on Smooth Manifolds
HineWAN/GP-based-Nonlinear-Model-Predictive-Control
HineWAN/Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor
HineWAN/learning_event_triggered_control
HineWAN/learningbydoing-comp
LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
HineWAN/lyapunov-learning
Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
HineWAN/markov-state-abstractions
Image-based gridworld experiment for learning Markov state abstractions
HineWAN/mbvi
Moment Based Variational Inference for Markov Jump Processes
HineWAN/model-predictive-control-lecture
Model Predictive Control Lecture (151-0660-00) Spring 2019 Programming Exercise
HineWAN/PS_thesis
Paul's Master Thesis
HineWAN/pstc
A Matlab implementation of preventive self-triggered control
HineWAN/resource_constrained_predictive_triggering
Predictive Triggering Framework for Distributed Control of Resource Constrained Multi-agent Systems
HineWAN/RL_GYM
A repo for Reinforcement Learning with GYM
HineWAN/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.
HineWAN/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.
HineWAN/safe_learning
Safe reinforcement learning with stability guarantees
HineWAN/self-triggered-control-1
HineWAN/test-and-eval-of-multi-agent-system
HineWAN/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