Jialin Liu

147 papers A* 2A 7B 14C 12Journal 84Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Controllable Multimodal Motion Behavior Generation for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Wenxing Lan, Jialin Liu, Bo Yuan, Xin Yao
2026 J jnl
Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
2026 J jnl
MOPCGRL: Multi-Objective Procedural Content Generation via Reinforcement Learning.
Complex Syst. Model. Simul.
Yi Yuan, Qingquan Zhang, Bo Yuan, Matthew Barthet, Ahmed Khalifa, Georgios N. Yannakakis, Huanhuan Chen, Jialin Liu
2025 J jnl
Adaptive Operator Selection for Meta-Heuristics: A Survey.
IEEE Trans. Artif. Intell.
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
2025 J jnl
Ethical Considerations of Large Language Models in Game Playing.
CoRR
Qingquan Zhang, Yuchen Li, Bo Yuan, Julian Togelius, Georgios N. Yannakakis, Jialin Liu
2025 J jnl
Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning.
CoRR
Qingquan Zhang, Ziqi Wang, Yuchen Li, Keyuan Zhang, Bo Yuan, Jialin Liu
2025 J jnl
Fairness-Aware Multiobjective Evolutionary Learning.
IEEE Trans. Evol. Comput.
Qingquan Zhang, Jialin Liu, Xin Yao
2025 J jnl
Fun as Moderate Divergence: Evaluating Experience-Driven PCG via RL.
IEEE Trans. Games
Ziqi Wang, Yuchen Li, Haocheng Du, Jialin Liu, Georgios N. Yannakakis
2025 J jnl
GVGAI-LLM: Evaluating Large Language Model Agents with Infinite Games.
CoRR
Yuchen Li, Cong Lin, Muhammad Umair Nasir, Philip Bontrager, Jialin Liu, Julian Togelius
2025 J jnl
How Do Dynamic Events Change the Fitness Landscape of Traveling Salesman Problems?
IEEE Trans. Evol. Comput.
Hao Tong, Miqing Li, Jialin Liu, Xin Yao
2025 A* conf
LiBOG: Lifelong Learning for Black-Box Optimizer Generation.
IJCAI
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang
2025 J jnl
LiBOG: Lifelong Learning for Black-Box Optimizer Generation.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang
2025 J jnl
Lifelong Learning with Behavior Consolidation for Vehicle Routing.
CoRR
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
2025 J jnl
Measuring Diversity of Game Scenarios.
IEEE Trans. Games
Yuchen Li, Ziqi Wang, Qingquan Zhang, Bo Yuan, Jialin Liu
2025 J jnl
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning.
CoRR
Chengpeng Hu, Ziming Wang, Bo Yuan, Jialin Liu, Chengqi Zhang, Xin Yao
2025 J jnl
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chengpeng Hu, Ziming Wang, Bo Yuan, Jialin Liu, Chengqi Zhang, Xin Yao
2024 C conf
3D Building Generation in Minecraft via Large Language Models.
CoG
Shiying Hu, Zengrong Huang, Chengpeng Hu, Jialin Liu
2024 J jnl
3D Building Generation in Minecraft via Large Language Models.
CoRR
Shiying Hu, Zengrong Huang, Chengpeng Hu, Jialin Liu
2024 A conf
Evolutionary Reinforcement Learning via Cooperative Coevolution.
ECAI
Chengpeng Hu, Jialin Liu, Xin Yao
2024 J jnl
Evolutionary Reinforcement Learning via Cooperative Coevolution.
CoRR
Chengpeng Hu, Jialin Liu, Xin Yao
2024 J jnl
Exploring Accuracy-Fairness Trade-off in Large Language Models.
CoRR
Qingquan Zhang, Qiqi Duan, Bo Yuan, Yuhui Shi, Jialin Liu
2024 J jnl
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes].
IEEE Comput. Intell. Mag.
Bo Yuan, Shenhao Gui, Qingquan Zhang, Ziqi Wang, Junyi Wen, Bifei Mao, Jialin Liu, Xin Yao
2024 J jnl
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm.
Swarm Evol. Comput.
Nan Zheng, Handing Wang, Jialin Liu
2024 C conf
Game Generation via Large Language Models.
CoG
Chengpeng Hu, Yunlong Zhao, Jialin Liu
2024 J jnl
Games for Artificial Intelligence Research: A Review and Perspectives.
IEEE Trans. Artif. Intell.
Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu
2024 J jnl
Generating Games via LLMs: An Investigation with Video Game Description Language.
CoRR
Chengpeng Hu, Yunlong Zhao, Jialin Liu
2024 C conf
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation.
CoG
Qingquan Zhang, Yuchen Li, Yuhang Lin, Handing Wang, Jialin Liu
2024 J jnl
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation.
CoRR
Qingquan Zhang, Yuchen Li, Yuhang Lin, Handing Wang, Jialin Liu
2024 A conf
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework.
GECCO
Jiyuan Pei, Jialin Liu, Yi Mei
2024 J jnl
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework.
CoRR
Jiyuan Pei, Jialin Liu, Yi Mei
2024 J jnl
Measuring Diversity of Game Scenarios.
CoRR
Yuchen Li, Ziqi Wang, Qingquan Zhang, Jialin Liu
2024 A* conf
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation.
ICLR
Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao
2024 J jnl
Playing With Monte-Carlo Tree Search [AI-eXplained].
IEEE Comput. Intell. Mag.
Yunlong Zhao, Chengpeng Hu, Jialin Liu
2024 J jnl
State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning.
IEEE Trans. Games
Ziqi Wang, Tianye Shu, Jialin Liu
2024 J jnl
Workshop on computational intelligence and games 2024.
ICGA J.
Jialin Liu, Georgios N. Yannakakis
2023 J jnl
An efficient many objective optimization algorithm with few parameters.
Swarm Evol. Comput.
Qingquan Zhang, Jialin Liu, Xin Yao
2023 B conf
Constrained Reinforcement Learning for Dynamic Material Handling.
IJCNN
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao
2023 J jnl
Constrained Reinforcement Learning for Dynamic Material Handling.
CoRR
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao
2023 B conf
Evolving Constrained Reinforcement Learning Policy.
IJCNN
Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao
2023 J jnl
Evolving Constrained Reinforcement Learning Policy.
CoRR
Chengpeng Hu, Jiyuan Pei, Jialin Liu, Xin Yao
2023 J jnl
Game-based Platforms for Artificial Intelligence Research.
CoRR
Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu
2023 — conf
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances.
GECCO Companion
Shuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao
2023 C conf
Generating Redstone Style Cities in Minecraft.
CoG
Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu
2023 J jnl
Generating Redstone Style Cities in Minecraft.
CoRR
Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu
2023 J jnl
Guest Editorial: Special Issue on Evolutionary Computation for Games.
IEEE Trans. Games
Jacob Schrum, Jialin Liu, Cameron Browne, Anikó Ekárt, Marcus Gallagher
2023 A conf
Local Optima Correlation Assisted Adaptive Operator Selection.
GECCO
Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao
2023 J jnl
Local Optima Correlation Assisted Adaptive Operator Selection.
CoRR
Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao
2023 J jnl
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning.
IEEE Trans. Evol. Comput.
Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao
2023 C conf
MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis.
CoG
Haocheng Du, Yunlong Zhao, Shuo Huang, Jiayu Bai, Song Tian, Jialin Liu
2023 J jnl
Reinforcement Learning With Dual-Observation for General Video Game Playing.
IEEE Trans. Games
Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
2022 — conf
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.
PRICAI (1)
Jiyuan Pei, Yi Mei, Jialin Liu, Xin Yao
2022 C conf
Generating Game Levels of Diverse Behaviour Engagement.
CoG
Keyuan Zhang, Jiayu Bai, Jialin Liu
2022 J jnl
Generating Game Levels of Diverse Behaviour Engagement.
CoRR
Keyuan Zhang, Jiayu Bai, Jialin Liu
2022 J jnl
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning.
CoRR
Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao
2022 C conf
Online Game Level Generation from Music.
CoG
Ziqi Wang, Jialin Liu
2022 J jnl
Online Game Level Generation from Music.
CoRR
Ziqi Wang, Jialin Liu
2022 J jnl
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems.
IEEE Trans. Evol. Comput.
Wenxing Lan, Ziyuan Ye, Peijun Ruan, Jialin Liu, Peng Yang, Xin Yao
2022 — conf
Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study.
ICSI (2)
Hao Tong, Qingquan Zhang, Chengpeng Hu, Xudong Feng, Feng Wu, Jialin Liu
2022 J jnl
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning.
CoRR
Ziqi Wang, Tianye Shu, Jialin Liu
2022 C conf
The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning.
FDG
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
2022 J jnl
fSDE: efficient evolutionary optimisation for many-objective aero-engine calibration.
Complex Intell. Syst.
Jialin Liu, Qingquan Zhang, Jiyuan Pei, Hao Tong, Xudong Feng, Feng Wu
2021 — conf
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access.
SSCI
Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao
2021 J jnl
Deep learning for procedural content generation.
Neural Comput. Appl.
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
2021 C conf
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.
CoG
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
2021 J jnl
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.
CoRR
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
2021 — conf
Fairer Machine Learning Through Multi-objective Evolutionary Learning.
ICANN (4)
Qingquan Zhang, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, Xin Yao
2021 C conf
Keiki: Towards Realistic Danmaku Generation via Sequential GANs.
CoG
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
2021 J jnl
Keiki: Towards Realistic Danmaku Generation via Sequential GANs.
CoRR
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
2021 — conf
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration.
SSCI
Hao Tong, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xudong Feng, Feng Wu
2021 J jnl
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article].
IEEE Comput. Intell. Mag.
Jialin Liu, Ke Tang, Xin Yao
2020 — conf
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem.
PPSN (2)
Han Zhang, Jialin Liu, Xin Yao
2020 J jnl
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem.
CoRR
Han Zhang, Jialin Liu, Xin Yao
2020 B conf
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros.
CEC
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
2020 J jnl
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros.
CoRR
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
2020 — conf
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation.
SSCI
Chenhao Li, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xin Yao
2020 — conf
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity.
SSCI
Qingquan Zhang, Feng Wu, Yang Tao, Jiyuan Pei, Jialin Liu, Xin Yao
2020 J jnl
Deep Learning for Procedural Content Generation.
CoRR
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
2020 J jnl
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks.
CoRR
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
2020 A conf
Interactive evolution and exploration within latent level-design space of generative adversarial networks.
GECCO
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
2020 J jnl
Robust Reinforcement Learning for General Video Game Playing.
CoRR
Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
2020 J jnl
Self-Adaptive Monte Carlo Tree Search in General Game Playing.
IEEE Trans. Games
Chiara F. Sironi, Jialin Liu, Mark H. M. Winands
2020 J jnl
Versatile Black-Box Optimization.
CoRR
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
2020 A conf
Versatile black-box optimization.
GECCO
Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
2019 — conf
A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization.
SSCI
Jialin Liu, Olivier Teytaud
2019 J jnl
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms.
CoRR
Hao Tong, Jialin Liu, Xin Yao
2019 A conf
Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms.
GECCO
Hao Tong, Jialin Liu, Xin Yao
2019 J jnl
Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511).
Dagstuhl Reports
Jialin Liu, Tom Schaul, Pieter Spronck, Julian Togelius
2019 — conf
Efficient Decision Making under Uncertainty in a Power System Investment Problem.
SSCI
Jialin Liu, Olivier Teytaud
2019 J jnl
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best.
CoRR
Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana
2019 J jnl
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms.
IEEE Trans. Games
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
2019 — book
General Video Game Artificial Intelligence
Diego Pérez-Liébana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa, Jialin Liu
2019 J jnl
Guest Editorial Special Issue on Game Competition Frameworks for Research and Education.
IEEE Trans. Games
Jialin Liu, Diego Pérez-Liébana, Tristan Cazenave, Ruck Thawonmas
2019 C conf
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor.
CoG
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
2019 J jnl
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor.
CoRR
Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu
2019 — conf
Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems.
SSCI
Jialin Liu, Xin Yao
2019 B conf
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
CEC
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
2019 J jnl
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
CoRR
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
2018 — conf
Deep Reinforcement Learning for General Video Game AI.
CIG
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
2018 J jnl
Deep Reinforcement Learning for General Video Game AI.
CoRR
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
2018 J jnl
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network.
CoRR
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
2018 A conf
Evolving mario levels in the latent space of a deep convolutional generative adversarial network.
GECCO
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
2018 J jnl
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms.
CoRR
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
2018 J jnl
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application.
IEEE Trans. Fuzzy Syst.
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2018 J jnl
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application.
CoRR
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2018 J jnl
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game.
IEEE Trans. Games
Philipp Rohlfshagen, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2018 B conf
Self-adaptive MCTS for General Video Game Playing.
EvoApplications
Chiara F. Sironi, Jialin Liu, Diego Perez Liebana, Raluca D. Gaina, Ivan Bravi, Simon M. Lucas, Mark H. M. Winands
2018 — conf
Shallow Decision-Making Analysis in General Video Game Playing.
CIG
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
2018 J jnl
Shallow decision-making analysis in General Video Game Playing.
CoRR
Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2018 J jnl
The 2016 Two-Player GVGAI Competition.
IEEE Trans. Games
Raluca D. Gaina, Adrien Couëtoux, Dennis J. N. J. Soemers, Mark H. M. Winands, Tom Vodopivec, Florian Kirchgeßner, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
2018 B conf
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation.
CEC
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2018 J jnl
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation.
CoRR
Simon M. Lucas, Jialin Liu, Diego Perez Liebana
2017 — conf
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing.
EvoApplications (1)
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
2017 J jnl
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing.
CoRR
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana
2017 B conf
Bandit-based Random Mutation Hill-Climbing.
CEC
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2017 J jnl
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm.
CoRR
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017 — conf
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms.
SSCI
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017 J jnl
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic.
CoRR
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017 J jnl
Evolving Game Skill-Depth using General Video Game AI Agents.
CoRR
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
2017 B conf
Evolving Game Skill-Depth using General Video Game AI agents.
CEC
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
2017 J jnl
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement.
CoRR
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2017 B conf
The N-Tuple bandit evolutionary algorithm for automatic game improvement.
CEC
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2016 J jnl
Algorithm portfolios for noisy optimization.
Ann. Math. Artif. Intell.
Marie-Liesse Cauwet, Jialin Liu, Baptiste Rozière, Olivier Teytaud
2016 J jnl
Automatically Reinforcing a Game AI.
CoRR
David Lupien St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016 J jnl
Bandit-Based Random Mutation Hill-Climbing.
CoRR
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2016 — conf
Fast Seed-Learning Algorithms for Games.
Computers and Games
Jialin Liu, Olivier Teytaud, Tristan Cazenave
2016 — conf
Learning opening books in partially observable games: Using random seeds in Phantom Go.
CIG
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016 J jnl
Learning opening books in partially observable games: using random seeds in Phantom Go.
CoRR
Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud
2016 J jnl
Optimal resampling for the noisy OneMax problem.
CoRR
Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas
2016 J jnl
Rolling Horizon Coevolutionary Planning for Two-Player Video Games.
CoRR
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2016 — conf
Rolling Horizon Coevolutionary planning for two-player video games.
CEEC
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
2016 J jnl
Scenario-based decision-making for power systems investment planning.
CoRR
Jialin Liu, Olivier Teytaud
2016 J jnl
Simple and cumulative regret for continuous noisy optimization.
Theor. Comput. Sci.
Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
2015 B conf
Differential evolution for strongly noisy optimization: Use 1: 01
CEC
Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Shi-Jim Yen
2015 B conf
Item response theory with fuzzy markup language for parameter estimation and validation.
FUZZ-IEEE
Mei-Hui Wang, Chi-Shiang Wang, Chang-Shing Lee, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung
2015 B conf
Nash reweighting of Monte Carlo simulations: Tsumego.
CEC
David Lupien St-Pierre, Jialin Liu, Olivier Teytaud
2015 — —
Portfolio Methods in Uncertain Contexts. (Méthodes de portefeuille en contexte incertain).
Jialin Liu
2015 — conf
The rectangular seeds of Domineering.
CIG
Tristan Cazenave, Jialin Liu, Olivier Teytaud
2015 — conf
Variance Reduction in Population-Based Optimization: Application to Unit Commitment.
Artificial Evolution
Jean-Joseph Christophe, Jérémie Decock, Jialin Liu, Olivier Teytaud
2015 — conf
Variance Reduction in Population-Based Optimization: Application to Unit Commitment.
GECCO (Companion)
Jérémie Decock, Jialin Liu, Olivier Teytaud
2014 — conf
A mathematically derived number of resamplings for noisy optimization.
GECCO (Companion)
Jialin Liu, David Lupien St-Pierre, Olivier Teytaud
2014 — conf
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early.
LION
Marie-Liesse Cauwet, Jialin Liu, Olivier Teytaud
2014 B conf
Differential Evolution algorithm applied to non-stationary bandit problem.
IEEE Congress on Evolutionary Computation
David Lupien St-Pierre, Jialin Liu
2014 B conf
Meta Online Learning: Experiments on a Unit Commitment Problem.
ESANN
Jialin Liu, Olivier Teytaud
2014 C conf
Sparse binary zero-sum games.
ACML
David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud
2014 J jnl
Strategic Choices in Optimization.
J. Inf. Sci. Eng.
Cheng-Wei Chou, Ping-Chiang Chou, Jean-Joseph Christophe, Adrien Couëtoux, Pierre de Freminville, Nicolas Galichet, Chang-Shing Lee, Jialin Liu, David Lupien Saint-Pierre, Michèle Sebag, Olivier Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
2013 — conf
Log-log Convergence for Noisy Optimization.
Artificial Evolution
Sandra Astete Morales, Jialin Liu, Olivier Teytaud
2013 — conf
Noisy optimization convergence rates.
GECCO (Companion)
Sandra Astete Morales, Jialin Liu, Olivier Teytaud