no code implementations • 24 May 2024 • Marc Oedingen, Raphael C. Engelhardt, Robin Denz, Maximilian Hammer, Wolfgang Konen
In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI).
no code implementations • 19 Feb 2024 • Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
Visual navigation requires a whole range of capabilities.
no code implementations • 6 Oct 2023 • Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
These insights can inform future development of interpretable representation learning approaches for non-visual observations and advance the use of RL solutions in real-world scenarios.
no code implementations • 28 Jan 2023 • Wolfgang Konen
This work describes in detail how to learn and solve the Rubik's cube game (or puzzle) in the General Board Game (GBG) learning and playing framework.
1 code implementation • 28 Apr 2022 • Johannes Scheiermann, Wolfgang Konen
Recently, the seminal algorithms AlphaGo and AlphaZero have started a new era in game learning and deep reinforcement learning.
no code implementations • 29 Nov 2021 • Wolfgang Konen, Samineh Bagheri
Our main contribution is that FARL is a vitally important ingredient to achieve success with the player-centered view in various games.
no code implementations • Applied Soft Computing 2021 • Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck
Learning temporal patterns in time series remains a challenging task up until today.
no code implementations • 11 Jul 2019 • Wolfgang Konen
On various games, TD($\lambda$)-n-tuple is found to be superior to other generic agents like MCTS.
no code implementations • 17 Apr 2019 • Samineh Bagheri, Wolfgang Konen, Thomas Bäck
We show on a set of high-conditioning functions that online whitening tackles SACOBRA's early stagnation issue and reduces the optimization error by a factor between 10 to 1e12 as compared to the plain SACOBRA, though it imposes many extra function evaluations.
no code implementations • 21 Mar 2016 • Wolfgang Konen
This technical report describes an improved image mosaicking algorithm.
no code implementations • 31 Dec 2015 • Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
We analyze the importance of the several new elements in SACOBRA and find that each element of SACOBRA plays a role to boost up the overall optimization performance.