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01/28/2023
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning
This work describes in detail how to learn and solve the Rubik's cube ga...
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04/28/2022
AlphaZero-Inspired General Board Game Learning and Playing
Recently, the seminal algorithms AlphaGo and AlphaZero have started a ne...
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11/29/2021
Final Adaptation Reinforcement Learning for N-Player Games
This paper covers n-tuple-based reinforcement learning (RL) algorithms f...
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07/11/2019
General Board Game Playing for Education and Research in Generic AI Game Learning
We present a new general board game (GBG) playing and learning framework...
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04/17/2019
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
Real-world optimization problems often have expensive objective function...
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03/21/2016
Illumination-invariant image mosaic calculation based on logarithmic search
This technical report describes an improved image mosaicking algorithm. ...
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12/31/2015
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control
Constrained optimization of high-dimensional numerical problems plays an...
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05/10/2011
Self-configuration from a Machine-Learning Perspective
The goal of machine learning is to provide solutions which are trained b...
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12/06/2009
On the numeric stability of the SFA implementation sfa-tk
Slow feature analysis (SFA) is a method for extracting slowly varying fe...
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11/23/2009