In this page, I have collected a series of simulators built up in the course of several scientific projects. Most of them are publicly available, and some others under preparation. Please do not hesitate to contacting me in case of any further clarification or for sharing the code.
DistriNet
This simulator provides a framework for testing distributed learning techniques in formulating networks. It is publicly available for contributing in the following github repository. In case of using it for research purposes, please do not forget to reference the original article provided below.
RoboFlag
The RoboFlag simulator provides a easy-to-use environment, developed in Matlab, for testing multi-agent group strategies in the RoboFlag game. (It will become available shortly.)
PaRLSched
PaRLSched provides a C++ library for optimally scheduling parallel threads in a many-core platform using distributed reinforcement learning. The development has been reported into a series of papers.
Let’s build something together.
Choose an amount
Or enter a custom amount










