Jialin Liu

IEEE Comput. Intell. Mag., February, 2024

2023

An efficient many objective optimization algorithm with few parameters.

[BibT_eX]

[DOI]

Qingquan Zhang

Swarm Evol. Comput., December, 2023

Reinforcement Learning With Dual-Observation for General Video Game Playing.

[BibT_eX]

[DOI]

IEEE Trans. Games, June, 2023

Guest Editorial: Special Issue on Evolutionary Computation for Games.

[BibT_eX]

[DOI]

IEEE Trans. Games, March, 2023

Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2023

Game-based Platforms for Artificial Intelligence Research.

[BibT_eX]

[DOI]

CoRR, 2023

Constrained Reinforcement Learning for Dynamic Material Handling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Evolving Constrained Reinforcement Learning Policy.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Local Optima Correlation Assisted Adaptive Operator Selection.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Generating Redstone Style Cities in Minecraft.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2023

2022

Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning.

[BibT_eX]

[DOI]

Tianye Shu

CoRR, 2022

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

Generating Game Levels of Diverse Behaviour Engagement.

[BibT_eX]

[DOI]

Keyuan Zhang

Jiayu Bai

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Online Game Level Generation from Music.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Deep learning for procedural content generation.

[BibT_eX]

[DOI]

Julian Togelius

Neural Comput. Appl., 2021

Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article].

[BibT_eX]

[DOI]

Ke Tang

IEEE Comput. Intell. Mag., 2021

Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Fairer Machine Learning Through Multi-objective Evolutionary Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Keiki: Towards Realistic Danmaku Generation via Sequential GANs.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.

[BibT_eX]

[DOI]

Tianye Shu

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Self-Adaptive Monte Carlo Tree Search in General Game Playing.

[BibT_eX]

[DOI]

Chiara F. Sironi

Mark H. M. Winands

IEEE Trans. Games, 2020

Robust Reinforcement Learning for General Video Game Playing.

[BibT_eX]

[DOI]

CoRR, 2020

D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem.

[BibT_eX]

[DOI]

Han Zhang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Interactive evolution and exploration within latent level-design space of generative adversarial networks.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Versatile black-box optimization.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

General Video Game Artificial Intelligence

[BibT_eX]

[DOI]

Synthesis Lectures on Games and Computational Intelligence, Morgan & Claypool Publishers, ISBN: 978-3-031-02122-0, 2019

General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Games, 2019

Guest Editorial Special Issue on Game Competition Frameworks for Research and Education.

[BibT_eX]

[DOI]

IEEE Trans. Games, 2019

Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2019

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best.

[BibT_eX]

[DOI]

CoRR, 2019

Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Efficient Decision Making under Uncertainty in a Power System Investment Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms.

[BibT_eX]

[DOI]

Hao Tong

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2019

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game.

[BibT_eX]

[DOI]

IEEE Trans. Games, 2018

The 2016 Two-Player GVGAI Competition.

[BibT_eX]

[DOI]

Raluca D. Gaina

Adrien Couëtoux

Dennis J. N. J. Soemers

IEEE Trans. Games, 2018

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms.

[BibT_eX]

[DOI]

CoRR, 2018

Evolving mario levels in the latent space of a deep convolutional generative adversarial network.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Self-adaptive MCTS for General Video Game Playing.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2018

Deep Reinforcement Learning for General Video Game AI.

[BibT_eX]

[DOI]

Ruben Rodriguez Torrado

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Shallow Decision-Making Analysis in General Video Game Playing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Evolving Game Skill-Depth using General Video Game AI agents.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Bandit-based Random Mutation Hill-Climbing.

[BibT_eX]

[DOI]

Diego Perez Liebana

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

The N-Tuple bandit evolutionary algorithm for automatic game improvement.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Simple and cumulative regret for continuous noisy optimization.

[BibT_eX]

[DOI]

Sandra Astete Morales

Marie-Liesse Cauwet

Theor. Comput. Sci., 2016

Automatically Reinforcing a Game AI.

[BibT_eX]

[DOI]

CoRR, 2016

Scenario-based decision-making for power systems investment planning.

[BibT_eX]

[DOI]

CoRR, 2016

Optimal resampling for the noisy OneMax problem.

[BibT_eX]

[DOI]

CoRR, 2016

Algorithm portfolios for noisy optimization.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2016

Learning opening books in partially observable games: Using random seeds in Phantom Go.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Fast Seed-Learning Algorithms for Games.

[BibT_eX]

[DOI]

Tristan Cazenave

Proceedings of the Computers and Games - 9th International Conference, 2016

Rolling Horizon Coevolutionary planning for two-player video games.

[BibT_eX]

[DOI]

Diego Perez Liebana

Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016

2015

Portfolio Methods in Uncertain Contexts. (Méthodes de portefeuille en contexte incertain).

[BibT_eX]

[DOI]

PhD thesis, 2015

Variance Reduction in Population-Based Optimization: Application to Unit Commitment.

[BibT_eX]

[DOI]

Jérémie Decock

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Item response theory with fuzzy markup language for parameter estimation and validation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

The rectangular seeds of Domineering.

[BibT_eX]

[DOI]

Tristan Cazenave

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Nash reweighting of Monte Carlo simulations: Tsumego.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Differential evolution for strongly noisy optimization: Use 1: 01<sup>n</sup> resamplings at iteration n and Reach the -1/2 slope.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Variance Reduction in Population-Based Optimization: Application to Unit Commitment.

[BibT_eX]

[DOI]

Jean-Joseph Christophe

Jérémie Decock

Proceedings of the Artificial Evolution, 2015

2014

Strategic Choices in Optimization.

[BibT_eX]

[DOI]

Cheng-Wei Chou

Ping-Chiang Chou

Jean-Joseph Christophe

Adrien Couëtoux

Pierre de Freminville

Nicolas Galichet

Chang-Shing Lee

David Lupien Saint-Pierre

J. Inf. Sci. Eng., 2014

Algorithm Portfolios for Noisy Optimization: Compare Solvers Early.

[BibT_eX]

[DOI]

Marie-Liesse Cauwet

Proceedings of the Learning and Intelligent Optimization, 2014

A mathematically derived number of resamplings for noisy optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Meta Online Learning: Experiments on a Unit Commitment Problem.

[BibT_eX]

[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Differential Evolution algorithm applied to non-stationary bandit problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Sparse binary zero-sum games.

[BibT_eX]

[DOI]

David Auger

Sylvie Ruette

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Noisy optimization convergence rates.

[BibT_eX]

[DOI]

Sandra Astete Morales

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Log-log Convergence for Noisy Optimization.

[BibT_eX]

[DOI]

Sandra Astete Morales