Graph Based Reinforcement Learning

mesh grid mapping over a multidimensional wave patern

1 April 2018

Using graph signal processing to improve the data-efficiency of reinforcement learning algorithms
听

Funder听N/A
Amount N/A

Project website

Research topics听graph based signal processing听| large scale networks | reinforcement learning

Description

Classical reinforcement learning problems suffer听from the well-known curse of dimensionality, leading to very slow learning problem in high-dimensional search spaces.

In this project, we aim to overcome this limitation听by inferring the structure/geometry of the problem in the learning algorithm in the case of high-dimensional states.听

Possible applications are online control of grid networks or traffic networks.