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.