Searched for: contributor%3A%22Starre%2C+R.A.N.+%28mentor%29%22
(1 - 3 of 3)
document
Fani, Kees (author)
In order to do something useful, you should know what to do and how to do it. The same goes for robots or other machines, which are also referred to as agents. Advances in e.g. technology and science have made such agents more and more sophisticated and capable. This opens up a plethora of possibilities for solving problems or automating...
master thesis 2021
document
Kuhn, Emanuel (author)
Previous research has in reinforcement learning for traffic control has used various state abstractions. Some use feature vectors while others use matrices of car positions. This paper first compares a simple feature vector consisting of only queue sizes per incoming lane to a matrix of car positions. Then it investigates if knowledge can be...
bachelor thesis 2020
document
Oren, Yaniv (author)
Identifying the most efficient exploration approach for deep reinforcement learning in traffic light control is not a trivial task, and can be a critical step in the development of reinforcement learning solutions that can effectively reduce traffic congestion. It is common to use baseline dithering methods such as $\epsilon$-greedy. However,...
bachelor thesis 2020