Log-log Convergence for Noisy Optimization. - Sandra Astete Morales; Jialin Liu 001; Olivier Teytaud (Artificial Evolution, 2013)

Noisy optimization convergence rates. - Sandra Astete Morales; Jialin Liu 001; Olivier Teytaud (GECCO (Companion), 2013)

Sparse binary zero-sum games. - David Auger; Jialin Liu 001; Sylvie Ruette; David Lupien St-Pierre; Olivier Teytaud (ACML, 2014)

Differential Evolution algorithm applied to non-stationary bandit problem. - David Lupien St-Pierre; Jialin Liu 001 (IEEE Congress on Evolutionary Computation, 2014)

Meta Online Learning: Experiments on a Unit Commitment Problem. - Jialin Liu 001; Olivier Teytaud (ESANN, 2014)

A mathematically derived number of resamplings for noisy optimization. - Jialin Liu 001; David Lupien St-Pierre; Olivier Teytaud (GECCO (Companion), 2014)

Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. - Marie-Liesse Cauwet; Jialin Liu 001; Olivier Teytaud (LION, 2014)

Strategic Choices in Optimization. - Cheng-Wei Chou; Ping-Chiang Chou; Jean-Joseph Christophe; Adrien Couëtoux; Pierre de Freminville; Nicolas Galichet; Chang-Shing Lee; Jialin Liu 001; David Lupien Saint-Pierre; Michèle Sebag; Olivier Teytaud; Mei-Hui Wang; et al. (J. Inf. Sci. Eng., 2014)

Variance Reduction in Population-Based Optimization: Application to Unit Commitment. - Jean-Joseph Christophe; Jérémie Decock; Jialin Liu 001; Olivier Teytaud (Artificial Evolution, 2015)

Differential evolution for strongly noisy optimization: Use 1: 01n resamplings at iteration n and Reach the -1/2 slope. - Shih-Yuan Chiu; Ching-Nung Lin; Jialin Liu 001; Tsan-Cheng Su; Fabien Teytaud; Olivier Teytaud; Shi-Jim Yen (CEC, 2015)

Nash reweighting of Monte Carlo simulations: Tsumego. - David Lupien St-Pierre; Jialin Liu 001; Olivier Teytaud (CEC, 2015)

The rectangular seeds of Domineering. - Tristan Cazenave; Jialin Liu 001; Olivier Teytaud (CIG, 2015)

Item response theory with fuzzy markup language for parameter estimation and validation. - Mei-Hui Wang; Chi-Shiang Wang; Chang-Shing Lee; Olivier Teytaud; Jialin Liu 001; Su-Wei Lin; Pi-Hsia Hung (FUZZ-IEEE, 2015)

Variance Reduction in Population-Based Optimization: Application to Unit Commitment. - Jérémie Decock; Jialin Liu 001; Olivier Teytaud (GECCO (Companion), 2015)

Portfolio Methods in Uncertain Contexts. (Méthodes de portefeuille en contexte incertain). - Jialin Liu 001 (2015)

Rolling Horizon Coevolutionary planning for two-player video games. - Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEEC, 2016)

Fast Seed-Learning Algorithms for Games. - Jialin Liu 001; Olivier Teytaud; Tristan Cazenave (Computers and Games, 2016)

Learning opening books in partially observable games: Using random seeds in Phantom Go. - Tristan Cazenave; Jialin Liu 001; Fabien Teytaud; Olivier Teytaud (CIG, 2016)

Algorithm portfolios for noisy optimization. - Marie-Liesse Cauwet; Jialin Liu 001; Baptiste Rozière; Olivier Teytaud (Ann. Math. Artif. Intell., 2016)

Optimal resampling for the noisy OneMax problem. - Jialin Liu 001; Michael Fairbank; Diego Perez Liebana; Simon M. Lucas (CoRR, 2016)

Scenario-based decision-making for power systems investment planning. - Jialin Liu 001; Olivier Teytaud (CoRR, 2016)

Automatically Reinforcing a Game AI. - David Lupien St-Pierre; Jean-Baptiste Hoock; Jialin Liu 001; Fabien Teytaud; Olivier Teytaud (CoRR, 2016)

Simple and cumulative regret for continuous noisy optimization. - Sandra Astete Morales; Marie-Liesse Cauwet; Jialin Liu 001; Olivier Teytaud (Theor. Comput. Sci., 2016)

The N-Tuple bandit evolutionary algorithm for automatic game improvement. - Kamolwan Kunanusont; Raluca D. Gaina; Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Bandit-based Random Mutation Hill-Climbing. - Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Evolving Game Skill-Depth using General Video Game AI agents. - Jialin Liu 001; Julian Togelius; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. - Raluca D. Gaina; Jialin Liu 001; Simon M. Lucas; Diego Pérez-Liébana (EvoApplications (1), 2017)

Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (SSCI, 2017)

Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CoRR, 2017)

Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CoRR, 2017)

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CEC, 2018)

Shallow Decision-Making Analysis in General Video Game Playing. - Ivan Bravi; Diego Perez Liebana; Simon M. Lucas; Jialin Liu 001 (CIG, 2018)

Deep Reinforcement Learning for General Video Game AI. - Ruben Rodriguez Torrado; Philip Bontrager; Julian Togelius; Jialin Liu 001; Diego Pérez-Liébana (CIG, 2018)

Self-adaptive MCTS for General Video Game Playing. - Chiara F. Sironi; Jialin Liu 001; Diego Perez Liebana; Raluca D. Gaina; Ivan Bravi; Simon M. Lucas; Mark H. M. Winands (EvoApplications, 2018)

Evolving mario levels in the latent space of a deep convolutional generative adversarial network. - Vanessa Volz; Jacob Schrum; Jialin Liu 001; Simon M. Lucas; Adam M. Smith 001; Sebastian Risi (GECCO, 2018)

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. - Diego Pérez-Liébana; Jialin Liu 001; Ahmed Khalifa 001; Raluca D. Gaina; Julian Togelius; Simon M. Lucas (CoRR, 2018)

The 2016 Two-Player GVGAI Competition. - Raluca D. Gaina; Adrien Couëtoux; Dennis J. N. J. Soemers; Mark H. M. Winands; Tom Vodopivec; Florian Kirchgeßner; Jialin Liu 001; Simon M. Lucas; Diego Pérez-Liébana (IEEE Trans. Games, 2018)

Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. - Philipp Rohlfshagen; Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (IEEE Trans. Games, 2018)

PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. - Chang-Shing Lee; Mei-Hui Wang; Chi-Shiang Wang; Olivier Teytaud; Jialin Liu 001; Su-Wei Lin; Pi-Hsia Hung (IEEE Trans. Fuzzy Syst., 2018)

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. - Hao Tong; Changwu Huang; Jialin Liu 001; Xin Yao 001 (CEC, 2019)

Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. - Ivan Bravi; Diego Perez Liebana; Simon M. Lucas; Jialin Liu 001 (CoG, 2019)

Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms. - Hao Tong; Jialin Liu 001; Xin Yao 001 (GECCO, 2019)

A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. - Jialin Liu 001; Olivier Teytaud (SSCI, 2019)

Efficient Decision Making under Uncertainty in a Power System Investment Problem. - Jialin Liu 001; Olivier Teytaud (SSCI, 2019)

Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems. - Jialin Liu 001; Xin Yao 001 (SSCI, 2019)

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. - Simon M. Lucas; Jialin Liu 001; Ivan Bravi; Raluca D. Gaina; John R. Woodward; Vanessa Volz; Diego Perez Liebana (CoRR, 2019)

Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511). - Jialin Liu 001; Tom Schaul; Pieter Spronck; Julian Togelius (Dagstuhl Reports, 2019)

Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. - Jialin Liu 001; Diego Pérez-Liébana; Tristan Cazenave; Ruck Thawonmas (IEEE Trans. Games, 2019)

General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. - Diego Pérez-Liébana; Jialin Liu 001; Ahmed Khalifa 001; Raluca D. Gaina; Julian Togelius; Simon M. Lucas (IEEE Trans. Games, 2019)

General Video Game Artificial Intelligence - Diego Pérez-Liébana; Simon M. Lucas; Raluca D. Gaina; Julian Togelius; Ahmed Khalifa 001; Jialin Liu 001 (Morgan & Claypool Publishers, 2019)

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. - Tianye Shu; Ziqi Wang 005; Jialin Liu 001; Xin Yao 001 (CEC, 2020)

Versatile black-box optimization. - Jialin Liu 001; Antoine Moreau; Mike Preuss; Jérémy Rapin; Baptiste Rozière; Fabien Teytaud; Olivier Teytaud (GECCO, 2020)

Interactive evolution and exploration within latent level-design space of generative adversarial networks. - Jacob Schrum; Jake Gutierrez; Vanessa Volz; Jialin Liu 001; Simon M. Lucas; Sebastian Risi (GECCO, 2020)

A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. - Han Zhang 043; Jialin Liu 001; Xin Yao 001 (PPSN (2), 2020)

An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. - Chenhao Li; Jiyuan Pei; Qingquan Zhang; Jialin Liu 001; Xin Yao 001 (SSCI, 2020)

D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. - Qingquan Zhang; Feng Wu; Yang Tao; Jiyuan Pei; Jialin Liu 001; Xin Yao 001 (SSCI, 2020)

Robust Reinforcement Learning for General Video Game Playing. - Chengpeng Hu; Ziqi Wang 005; Tianye Shu; Yang Tao; Hao Tong; Julian Togelius; Xin Yao 001; Jialin Liu 001 (CoRR, 2020)

Self-Adaptive Monte Carlo Tree Search in General Game Playing. - Chiara F. Sironi; Jialin Liu 001; Mark H. M. Winands (IEEE Trans. Games, 2020)

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. - Tianye Shu; Jialin Liu 001; Georgios N. Yannakakis (CoG, 2021)

Keiki: Towards Realistic Danmaku Generation via Sequential GANs. - Ziqi Wang 005; Jialin Liu 001; Georgios N. Yannakakis (CoG, 2021)

Fairer Machine Learning Through Multi-objective Evolutionary Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (ICANN (4), 2021)

Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. - Jiyuan Pei; Chengpeng Hu; Jialin Liu 001; Yi Mei 001; Xin Yao 001 (SSCI, 2021)

Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. - Hao Tong; Jiyuan Pei; Qingquan Zhang; Jialin Liu 001; Xudong Feng; Feng Wu (SSCI, 2021)

Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. - Jialin Liu 001; Ke Tang 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2021)

Deep learning for procedural content generation. - Jialin Liu 001; Sam Snodgrass; Ahmed Khalifa 001; Sebastian Risi; Georgios N. Yannakakis; Julian Togelius (Neural Comput. Appl., 2021)

Online Game Level Generation from Music. - Ziqi Wang 005; Jialin Liu 001 (CoG, 2022)

Generating Game Levels of Diverse Behaviour Engagement. - Keyuan Zhang; Jiayu Bai; Jialin Liu 001 (CoG, 2022)

The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning. - Ziqi Wang 005; Jialin Liu 001; Georgios N. Yannakakis (FDG, 2022)

An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Xin Yao 001 (PRICAI (1), 2022)

Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study. - Hao Tong; Qingquan Zhang; Chengpeng Hu; Xudong Feng; Feng Wu; Jialin Liu 001 (ICSI (2), 2022)

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (CoRR, 2022)

Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. - Wenxing Lan; Ziyuan Ye; Peijun Ruan; Jialin Liu 001; Peng Yang 008; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis. - Haocheng Du; Yunlong Zhao 005; Shuo Huang 002; Jiayu Bai; Song Tian; Jialin Liu 001 (CoG, 2023)

Generating Redstone Style Cities in Minecraft. - Shuo Huang 002; Chengpeng Hu; Julian Togelius; Jialin Liu 001 (CoG, 2023)

Local Optima Correlation Assisted Adaptive Operator Selection. - Jiyuan Pei; Hao Tong; Jialin Liu 001; Yi Mei 001; Xin Yao 001 (GECCO, 2023)

Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. - Shuaixiang Zhang; Hao Tong; Jialin Liu 001; Xin Yao 001 (GECCO Companion, 2023)

Evolving Constrained Reinforcement Learning Policy. - Chengpeng Hu; Jiyuan Pei; Jialin Liu 001; Xin Yao 001 (IJCNN, 2023)

Constrained Reinforcement Learning for Dynamic Material Handling. - Chengpeng Hu; Ziming Wang; Jialin Liu 001; Junyi Wen; Bifei Mao; Xin Yao 001 (IJCNN, 2023)

Game-based Platforms for Artificial Intelligence Research. - Chengpeng Hu; Yunlong Zhao 005; Ziqi Wang 005; Haocheng Du; Jialin Liu 001 (CoRR, 2023)

Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. - Qingquan Zhang; Jialin Liu 001; Zeqi Zhang; Junyi Wen; Bifei Mao; Xin Yao 001 (IEEE Trans. Evol. Comput., 2023)

Guest Editorial: Special Issue on Evolutionary Computation for Games. - Jacob Schrum; Jialin Liu 001; Cameron Browne; Anikó Ekárt; Marcus Gallagher (IEEE Trans. Games, 2023)

Reinforcement Learning With Dual-Observation for General Video Game Playing. - Chengpeng Hu; Ziqi Wang 005; Tianye Shu; Hao Tong; Julian Togelius; Xin Yao 001; Jialin Liu 001 (IEEE Trans. Games, 2023)

An efficient many objective optimization algorithm with few parameters. - Qingquan Zhang; Jialin Liu 001; Xin Yao 001 (Swarm Evol. Comput., 2023)

3D Building Generation in Minecraft via Large Language Models. - Shiying Hu; Zengrong Huang; Chengpeng Hu; Jialin Liu 001 (CoG, 2024)

Game Generation via Large Language Models. - Chengpeng Hu; Yunlong Zhao 005; Jialin Liu 001 (CoG, 2024)

Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation. - Qingquan Zhang; Yuchen Li; Yuhang Lin; Handing Wang; Jialin Liu 001 (CoG, 2024)

Evolutionary Reinforcement Learning via Cooperative Coevolution. - Chengpeng Hu; Jialin Liu 001; Xin Yao 001 (ECAI, 2024)

Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. - Jiyuan Pei; Jialin Liu 001; Yi Mei 001 (GECCO, 2024)

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation. - Ziqi Wang 005; Chengpeng Hu; Jialin Liu 001; Xin Yao 001 (ICLR, 2024)

Generating Games via LLMs: An Investigation with Video Game Description Language. - Chengpeng Hu; Yunlong Zhao 005; Jialin Liu 001 (CoRR, 2024)

Measuring Diversity of Game Scenarios. - Yuchen Li; Ziqi Wang 005; Qingquan Zhang; Jialin Liu 001 (CoRR, 2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models. - Qingquan Zhang; Qiqi Duan; Bo Yuan 006; Yuhui Shi 001; Jialin Liu 001 (CoRR, 2024)

Workshop on computational intelligence and games 2024. - Jialin Liu 001; Georgios N. Yannakakis (J. Int. Comput. Games Assoc., 2024)

Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm. - Nan Zheng; Handing Wang; Jialin Liu 001 (Swarm Evol. Comput., 2024)

Playing With Monte-Carlo Tree Search [AI-eXplained]. - Yunlong Zhao 005; Chengpeng Hu; Jialin Liu 001 (IEEE Comput. Intell. Mag., 2024)

FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]. - Bo Yuan 006; Shenhao Gui; Qingquan Zhang; Ziqi Wang 005; Junyi Wen; Bifei Mao; Jialin Liu 001; Xin Yao 001 (IEEE Comput. Intell. Mag., 2024)

State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. - Ziqi Wang 005; Tianye Shu; Jialin Liu 001 (IEEE Trans. Games, 2024)

Games for Artificial Intelligence Research: A Review and Perspectives. - Chengpeng Hu; Yunlong Zhao 005; Ziqi Wang 005; Haocheng Du; Jialin Liu 001 (IEEE Trans. Artif. Intell., 2024)

LiBOG: Lifelong Learning for Black-Box Optimizer Generation. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Mengjie Zhang 001 (CoRR, 2025)

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning. - Chengpeng Hu; Ziming Wang; Bo Yuan 006; Jialin Liu 001; Chengqi Zhang; Xin Yao 001 (CoRR, 2025)

Fun as Moderate Divergence: Evaluating Experience-Driven PCG via RL. - Ziqi Wang 005; Yuchen Li; Haocheng Du; Jialin Liu 001; Georgios N. Yannakakis (IEEE Trans. Games, 2025)

GVGAI-LLM: Evaluating Large Language Model Agents with Infinite Games. - Yuchen Li; Cong Lin; Muhammad Umair Nasir; Philip Bontrager; Jialin Liu 001; Julian Togelius (CoRR, 2025)

Adaptive Operator Selection for Meta-Heuristics: A Survey. - Jiyuan Pei; Yi Mei 001; Jialin Liu 001; Mengjie Zhang 001; Xin Yao 001 (IEEE Trans. Artif. Intell., 2025)