ReLeX - Reinforcement Learning Experiments

Jun 21, 2022

A series of presentations, publications and implementations on Reinforcement Learning algorithms.

Main site of the project and associated experiments: https://github.com/maddataanalyst/relex

deep learning reinforcement learning
Filip Wójcik
Filip Wójcik
Senior Data Scientist and Ph.D. in Quality and Management Science

Data scientist and researcher, passionate of machine learning and statistical analysis. In the same time - experienced software developer with experience in different technologies.

Publications

Utilization of deep reinforcement learning for discrete resource allocation problem in project management – a simulation experiment
This paper tests the applicability of deep reinforcement learning (DRL) algorithms to simulated problems of constrained discrete and online resource allocation in project management
Filip Wójcik
PDF Cite Project Source Document
Utilization of deep reinforcement learning for discrete resource allocation problem in project management – a simulation experiment

Events

Everything is a game: use cases for Reinforcement Learning
With just a few mental tricks, an analyst can turn most optimization problems into a form that can be solved using these algorithms.
Jun 21, 2022 12:00 PM — 12:00 PM Warszawa
Filip Wójcik
Project Slides
Everything is a game: use cases for Reinforcement Learning