Search Results for author: Stefan Menzel

Found 9 papers, 3 papers with code

Large Language and Text-to-3D Models for Engineering Design Optimization

no code implementations3 Jul 2023 Thiago Rios, Stefan Menzel, Bernhard Sendhoff

The current advances in generative AI for learning large neural network models with the capability to produce essays, images, music and even 3D assets from text prompts create opportunities for a manifold of disciplines.

Text to 3D

Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives

no code implementations19 Jun 2023 Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Different from most other dynamic multi-objective optimization problems (DMOPs), DMOPs with a changing number of objectives usually result in expansion or contraction of the Pareto front or Pareto set manifold.

Transfer Learning

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems

1 code implementation14 Apr 2021 Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao

The few existing studies are limited by the dynamic scenarios considered, and by overly complicated algorithms that are unable to benefit from the wealth of contributions provided by the existing CARP literature.

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi

1 code implementation28 Apr 2020 Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel

In this game, coordinated groups of players can leverage pre-established conventions to great effect, but playing in an ad-hoc setting requires agents to adapt to its partner's strategies with no previous coordination.

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

1 code implementation28 Apr 2020 Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel

Hanabi is a cooperative game that challenges exist-ing AI techniques due to its focus on modeling the mental states ofother players to interpret and predict their behavior.

Competitive Coevolution as an Adversarial Approach to Dynamic Optimization

no code implementations31 Jul 2019 Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao

In this paper, a new framework of employing EAs in the context of dynamic optimization is explored.

Evolutionary Algorithms

Diverse Agents for Ad-Hoc Cooperation in Hanabi

no code implementations8 Jul 2019 Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel

In complex scenarios where a model of other actors is necessary to predict and interpret their actions, it is often desirable that the model works well with a wide variety of previously unknown actors.

Towards Game-based Metrics for Computational Co-creativity

no code implementations26 Sep 2018 Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen

We propose the following question: what game-like interactive system would provide a good environment for measuring the impact and success of a co-creative, cooperative agent?

Evolving Agents for the Hanabi 2018 CIG Competition

no code implementations26 Sep 2018 Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel

Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention.

Cannot find the paper you are looking for? You can Submit a new open access paper.