MAPO: Model-Aware Policy Optimization algorithm
-
Updated
Sep 5, 2019
MAPO: Model-Aware Policy Optimization algorithm
Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]
Browser-based MyUI Runtime Implementation
This is a responsive. mobile-first, implementation written in Angular, Typescript, Bootstrap, CSS and HTML. It uses Lazy Loading, Redux, Re-usable components, model-based component. It has more tabs and it simulates the navigation of a simple website by having "home" and "contact us". You can create, delete, edit and filter your hero lis
A Model-based Agent, for chinese speech recognize.
Layout manager for react applications
AI4DI - Artificial Intelligence of Digitising Industry: Tool environment to execute and validate ASP diagnose models based on the theorem solver CLINGO 5.4.1.
This project involves using Simulink to create a comprehensive battery model that incorporates both charging and discharging resistances. By accurately simulating battery behavior under different conditions, the model can help optimize battery performance and prolong its lifespan.
Segmentation of France using time series
Model Aided extended Kalman filter (EKF) based state-estimation software for unmanned underwater vehicles (UUV)
Project for the course "Foundations of Reinforcement Learning" 2021 at ETH Zurich
Signal Processing Toolbox for Calcium Imaging Data
A collection of Jupyter notebooks on articles and material online related to recommender systems in python.
A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.
The goal of this repository is to provide a gym-compatible library to easily perform model-based Reinforcement Learning experiments using PyTorch. The library makes it easier to create learnable environments and ensembles of networks that can be used to learn the dynamics of an environment.
I built recommender systems for recommending products to user using Model-based recommendation system.
Simulating a futuristic package delivery service using drones.
This project involves development a DC Motor Model and Simulation in Simulink.
in this section will be matrix factorizarion based recommender on movies and ratings dataset
This is the code repository for my thesis
Add a description, image, and links to the model-based topic page so that developers can more easily learn about it.
To associate your repository with the model-based topic, visit your repo's landing page and select "manage topics."