Newsletter
Join our newsletter for getting ML and Reinforcement Learning tips. Each month you’ll get a summary of all last activities and so on.
Our accomplished projects:
1) We have worked on building the pre-scheduler for resource allocation in telecom domain using Multi-Agent Reinforcement learning (MARL) paradigm.
2) We have worked on Smart Temperature Control System for group of schools in Netherlands using Policy based algorithms for continuous control using Reinforcement Learning. As well as comparison with classic engineering control system such as Model Predictive Control (MPC) was conducted.
Now we are planning to do RL project in the Game Industry that help people to obtain Information and new Skills faster in personalized and efficient way.
We are seeking people to work on this new project.
1) We have worked on building the pre-scheduler for resource allocation in telecom domain using Multi-Agent Reinforcement learning (MARL) paradigm.
2) We have worked on Smart Temperature Control System for group of schools in Netherlands using Policy based algorithms for continuous control using Reinforcement Learning. As well as comparison with classic engineering control system such as Model Predictive Control (MPC) was conducted.
Now we are planning to do RL project in the Game Industry that help people to obtain Information and new Skills faster in personalized and efficient way.
We are seeking people to work on this new project.