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Model Predictive Control of Adaptive Cruise Control Vehicles.
Approximate Dynamic Programming / Reinforcement Learning 2015/16 @ TUM
Illustration of the effectiveness of some well known approximate dynamic programming techniques
Kinematic MPC and dynamic LPV-LQR state feedback control for an autonomous vehicle
Cooperative learning project for Deep Reinforcement Learning.
Cellular simultaneous recurrent neural network trained with extended Kalman filter.
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"
Distributed Model Predictive Control Toolbox
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization
A library of matlab and python code, as well as a ROS wrapper for event-triggered decentralized data fusion (ET-DDF) algorithms
MATLAB code for the numerical example in ``Event-Triggered Consensus for Multi-Agent Systems with Guaranteed Robustly Positive Minimum Inter-Event Times
Learning based explicit nonlinear model predictive control based on robust nonlinear regression and reduced-set support vector machines
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.
a implement of meta-RL
The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
Code used for the master thesis at MIIS (UPF)
Symbolic motion planning for multi-agent collision avoidance problem
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Hierarchical multi-agent systems for multiple UAVs
Thesis retrieval
Python Reinforcement Learning Projects, published by Packt
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Source code for examples in Book "Robust Adaptive Dynamic Programming"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.