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Research projects

Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models

About this project

Project information

Project status

In progress 2019 - 2024


Todor Stoyanov

Research subject

Research environments

Picture of robot arm.

The purpose of this project is to investigate the application of classical Artificial Intelligence (AI) techniques to the problem of Reinforcement Learning (RL) in continuous state/action spaces. This project is funded by the Wallenberg Autonomous Systems Program for Artificial Intelligence (WASP-AI).