Jialin Liu

According to our database1, Jialin Liu authored at least 55 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
Self-Adaptive Monte Carlo Tree Search in General Game Playing.
IEEE Trans. Games, 2020

Deep Learning for Procedural Content Generation.
CoRR, 2020

A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Interactive evolution and exploration within latent level-design space of generative adversarial networks.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Versatile black-box optimization.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms.
IEEE Trans. Games, 2019

Guest Editorial Special Issue on Game Competition Frameworks for Research and Education.
IEEE Trans. Games, 2019

Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511).
Dagstuhl Reports, 2019

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best.
CoRR, 2019

Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Efficient Decision Making under Uncertainty in a Power System Investment Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor.
Proceedings of the IEEE Conference on Games, 2019

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application.
IEEE Trans. Fuzzy Syst., 2018

Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game.
IEEE Trans. Games, 2018

The 2016 Two-Player GVGAI Competition.
IEEE Trans. Games, 2018

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms.
CoRR, 2018

Evolving mario levels in the latent space of a deep convolutional generative adversarial network.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Self-adaptive MCTS for General Video Game Playing.
Proceedings of the Applications of Evolutionary Computation, 2018

Deep Reinforcement Learning for General Video Game AI.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Shallow Decision-Making Analysis in General Video Game Playing.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm.
CoRR, 2017

Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic.
CoRR, 2017

Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Evolving Game Skill-Depth using General Video Game AI agents.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Bandit-based Random Mutation Hill-Climbing.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

The N-Tuple bandit evolutionary algorithm for automatic game improvement.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Simple and cumulative regret for continuous noisy optimization.
Theor. Comput. Sci., 2016

Automatically Reinforcing a Game AI.
CoRR, 2016

Scenario-based decision-making for power systems investment planning.
CoRR, 2016

Optimal resampling for the noisy OneMax problem.
CoRR, 2016

Algorithm portfolios for noisy optimization.
Ann. Math. Artif. Intell., 2016

Learning opening books in partially observable games: Using random seeds in Phantom Go.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Fast Seed-Learning Algorithms for Games.
Proceedings of the Computers and Games - 9th International Conference, 2016

Rolling Horizon Coevolutionary planning for two-player video games.
Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016

2015
Portfolio Methods in Uncertain Contexts. (Méthodes de portefeuille en contexte incertain).
PhD thesis, 2015

Variance Reduction in Population-Based Optimization: Application to Unit Commitment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Item response theory with fuzzy markup language for parameter estimation and validation.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

The rectangular seeds of Domineering.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Nash reweighting of Monte Carlo simulations: Tsumego.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Variance Reduction in Population-Based Optimization: Application to Unit Commitment.
Proceedings of the Artificial Evolution, 2015

2014
Strategic Choices in Optimization.
J. Inf. Sci. Eng., 2014

Algorithm Portfolios for Noisy Optimization: Compare Solvers Early.
Proceedings of the Learning and Intelligent Optimization, 2014

A mathematically derived number of resamplings for noisy optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Meta Online Learning: Experiments on a Unit Commitment Problem.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Differential Evolution algorithm applied to non-stationary bandit problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Sparse binary zero-sum games.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Noisy optimization convergence rates.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Log-log Convergence for Noisy Optimization.
Proceedings of the Artificial Evolution, 2013


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