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Jialin Liu 0001
刘佳琳
Person information
- unicode name: 刘佳琳
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- affiliation (2017 - 2018): Queen Mary University of London, School of Electronic Engineering and Computer Science, UK
- affiliation (2016 - 2017): University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK
- affiliation (PhD 2015): University of Paris-Saclay, France
- affiliation (2013 - 2016): University Paris-Sud, TAO, Gif-sur-Yvette, France
Other persons with the same name
- Jialin Liu — disambiguation page
- Jialin Liu 0002
— Lawrence Berkeley National Laboratory, CA, USA (and 1 more)
- Jialin Liu 0003
- Jialin Liu 0004
- Jialin Liu 0005 — Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA
- Jialin Liu 0006 — Temple University, USA
- Jialin Liu 0007
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2020 – today
- 2024
- [j21]Yunlong Zhao
Playing With Monte-Carlo Tree Search [AI-eXplained]. IEEE Comput. Intell. Mag. 19(1): 85-86 (2024) - [j20]Bo Yuan
FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes]. IEEE Comput. Intell. Mag. 19(2): 129-141 (2024) - [j19]Jialin Liu, Georgios N. Yannakakis:
Workshop on computational intelligence and games 2024. J. Int. Comput. Games Assoc. 46(2): 76-78 (2024) - [j18]Nan Zheng, Handing Wang
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm. Swarm Evol. Comput. 90: 101666 (2024) - [j17]Ziqi Wang
State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. IEEE Trans. Games 16(2): 489-492 (2024) - [c60]Shiying Hu, Zengrong Huang, Chengpeng Hu, Jialin Liu:
3D Building Generation in Minecraft via Large Language Models. CoG 2024: 1-4 - [c59]Chengpeng Hu, Yunlong Zhao, Jialin Liu:
Game Generation via Large Language Models. CoG 2024: 1-4 - [c58]Qingquan Zhang
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation. CoG 2024: 1-2 - [c57]Chengpeng Hu, Jialin Liu, Xin Yao:
Evolutionary Reinforcement Learning via Cooperative Coevolution. ECAI 2024: 3300-3307 - [c56]Jiyuan Pei
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. GECCO 2024 - [c55]Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao:
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation. ICLR 2024 - [i45]Chengpeng Hu, Yunlong Zhao, Jialin Liu
Generating Games via LLMs: An Investigation with Video Game Description Language. CoRR abs/2404.08706 (2024) - [i44]Jiyuan Pei, Jialin Liu
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. CoRR abs/2404.10252 (2024) - [i43]Chengpeng Hu, Jialin Liu
Evolutionary Reinforcement Learning via Cooperative Coevolution. CoRR abs/2404.14763 (2024) - [i42]Yuchen Li, Ziqi Wang, Qingquan Zhang, Jialin Liu
Measuring Diversity of Game Scenarios. CoRR abs/2404.15192 (2024) - [i41]Shiying Hu, Zengrong Huang, Chengpeng Hu, Jialin Liu
3D Building Generation in Minecraft via Large Language Models. CoRR abs/2406.08751 (2024) - [i40]Qingquan Zhang, Yuchen Li, Yuhang Lin, Handing Wang, Jialin Liu
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation. CoRR abs/2406.10663 (2024) - 2023
- [j16]Qingquan Zhang
An efficient many objective optimization algorithm with few parameters. Swarm Evol. Comput. 83: 101405 (2023) - [j15]Jacob Schrum
Guest Editorial: Special Issue on Evolutionary Computation for Games. IEEE Trans. Games 15(1): 1-4 (2023) - [j14]Chengpeng Hu
Reinforcement Learning With Dual-Observation for General Video Game Playing. IEEE Trans. Games 15(2): 202-216 (2023) - [j13]Qingquan Zhang
Mitigating Unfairness via Evolutionary Multiobjective Ensemble Learning. IEEE Trans. Evol. Comput. 27(4): 848-862 (2023) - [c54]Haocheng Du, Yunlong Zhao
MyRoom: A Unity Plugin for Procedural and Interactive Indoor Scene Synthesis. CoG 2023: 1-2 - [c53]Shuo Huang, Chengpeng Hu
Generating Redstone Style Cities in Minecraft. CoG 2023: 1-4 - [c52]Shuaixiang Zhang
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. GECCO Companion 2023: 255-258 - [c51]Jiyuan Pei
Local Optima Correlation Assisted Adaptive Operator Selection. GECCO 2023: 339-347 - [c50]Chengpeng Hu
Evolving Constrained Reinforcement Learning Policy. IJCNN 2023: 1-8 - [c49]Chengpeng Hu
Constrained Reinforcement Learning for Dynamic Material Handling. IJCNN 2023: 1-9 - [i39]Chengpeng Hu, Jiyuan Pei, Jialin Liu
Evolving Constrained Reinforcement Learning Policy. CoRR abs/2304.09869 (2023) - [i38]Chengpeng Hu, Yunlong Zhao, Ziqi Wang, Haocheng Du, Jialin Liu
Game-based Platforms for Artificial Intelligence Research. CoRR abs/2304.13269 (2023) - [i37]Jiyuan Pei, Hao Tong, Jialin Liu
Local Optima Correlation Assisted Adaptive Operator Selection. CoRR abs/2305.02805 (2023) - [i36]Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao:
Constrained Reinforcement Learning for Dynamic Material Handling. CoRR abs/2305.13824 (2023) - [i35]Shuo Huang, Chengpeng Hu, Julian Togelius, Jialin Liu:
Generating Redstone Style Cities in Minecraft. CoRR abs/2307.09777 (2023) - 2022
- [j12]Wenxing Lan
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26(4): 704-718 (2022) - [c48]Ziqi Wang, Jialin Liu
Online Game Level Generation from Music. CoG 2022: 119-126 - [c47]Keyuan Zhang, Jiayu Bai, Jialin Liu
Generating Game Levels of Diverse Behaviour Engagement. CoG 2022: 167-174 - [c46]Ziqi Wang
The Fun Facets of Mario: Multifaceted Experience-Driven PCG via Reinforcement Learning. FDG 2022: 44:1-44:8 - [c45]Jiyuan Pei
An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. PRICAI (1) 2022: 562-573 - [c44]Hao Tong, Qingquan Zhang, Chengpeng Hu, Xudong Feng, Feng Wu, Jialin Liu
Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study. ICSI (2) 2022: 343-352 - [i34]Keyuan Zhang, Jiayu Bai, Jialin Liu
Generating Game Levels of Diverse Behaviour Engagement. CoRR abs/2207.02100 (2022) - [i33]Ziqi Wang, Jialin Liu
Online Game Level Generation from Music. CoRR abs/2207.05271 (2022) - [i32]Qingquan Zhang, Jialin Liu
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning. CoRR abs/2210.16754 (2022) - [i31]Ziqi Wang, Tianye Shu, Jialin Liu
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. CoRR abs/2212.02951 (2022) - 2021
- [j11]Jialin Liu
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 16(1): 63-82 (2021) - [j10]Jialin Liu
Deep learning for procedural content generation. Neural Comput. Appl. 33(1): 19-37 (2021) - [c43]Tianye Shu, Jialin Liu
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoG 2021: 1-9 - [c42]Ziqi Wang, Jialin Liu
Keiki: Towards Realistic Danmaku Generation via Sequential GANs. CoG 2021: 1-4 - [c41]Qingquan Zhang
Fairer Machine Learning Through Multi-objective Evolutionary Learning. ICANN (4) 2021: 111-123 - [c40]Jiyuan Pei
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. SSCI 2021: 1-9 - [c39]Hao Tong, Jiyuan Pei
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. SSCI 2021: 1-7 - [i30]Tianye Shu, Jialin Liu, Georgios N. Yannakakis:
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoRR abs/2106.15877 (2021) - [i29]Ziqi Wang, Jialin Liu, Georgios N. Yannakakis:
Keiki: Towards Realistic Danmaku Generation via Sequential GANs. CoRR abs/2107.02991 (2021) - 2020
- [j9]Chiara F. Sironi
Self-Adaptive Monte Carlo Tree Search in General Game Playing. IEEE Trans. Games 12(2): 132-144 (2020) - [c38]Tianye Shu, Ziqi Wang, Jialin Liu
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CEC 2020: 1-10 - [c37]Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu
Interactive evolution and exploration within latent level-design space of generative adversarial networks. GECCO 2020: 148-156 - [c36]Jialin Liu
Versatile black-box optimization. GECCO 2020: 620-628 - [c35]Han Zhang
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. PPSN (2) 2020: 454-467 - [c34]Chenhao Li, Jiyuan Pei
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. SSCI 2020: 2391-2398 - [c33]Qingquan Zhang
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. SSCI 2020: 2754-2761 - [i28]Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi:
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. CoRR abs/2004.00151 (2020) - [i27]Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud:
Versatile Black-Box Optimization. CoRR abs/2004.14014 (2020) - [i26]Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao:
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CoRR abs/2005.06148 (2020) - [i25]Han Zhang, Jialin Liu, Xin Yao:
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem. CoRR abs/2007.04769 (2020) - [i24]Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius:
Deep Learning for Procedural Content Generation. CoRR abs/2010.04548 (2020) - [i23]Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu:
Robust Reinforcement Learning for General Video Game Playing. CoRR abs/2011.05622 (2020)
2010 – 2019
- 2019
- [b2]Diego Pérez-Liébana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa
General Video Game Artificial Intelligence. Synthesis Lectures on Games and Computational Intelligence, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00994-5 - [j8]Jialin Liu
Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. IEEE Trans. Games 11(3): 192-194 (2019) - [j7]Diego Pérez-Liébana
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. IEEE Trans. Games 11(3): 195-214 (2019) - [c32]Hao Tong, Changwu Huang
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CEC 2019: 1996-2003 - [c31]Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoG 2019: 1-8 - [c30]Hao Tong, Jialin Liu
Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms. GECCO 2019: 943-950 - [c29]Jialin Liu
A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. SSCI 2019: 689-696 - [c28]Jialin Liu
Efficient Decision Making under Uncertainty in a Power System Investment Problem. SSCI 2019: 697-704 - [c27]Jialin Liu
Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems. SSCI 2019: 1590-1597 - [i22]Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana:
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. CoRR abs/1901.00723 (2019) - [i21]Hao Tong, Changwu Huang, Jialin Liu, Xin Yao:
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CoRR abs/1901.05755 (2019) - [i20]Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu:
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoRR abs/1904.01883 (2019) - [i19]Hao Tong, Jialin Liu, Xin Yao:
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms. CoRR abs/1904.09813 (2019) - [i18]Jialin Liu, Tom Schaul, Pieter Spronck, Julian Togelius:
Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511). Dagstuhl Reports 9(12): 67-114 (2019) - 2018
- [j6]Raluca D. Gaina
The 2016 Two-Player GVGAI Competition. IEEE Trans. Games 10(2): 209-220 (2018) - [j5]Philipp Rohlfshagen, Jialin Liu
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. IEEE Trans. Games 10(3): 233-256 (2018) - [j4]Chang-Shing Lee
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. IEEE Trans. Fuzzy Syst. 26(5): 2618-2633 (2018) - [c26]Simon M. Lucas, Jialin Liu
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC 2018: 1-9 - [c25]Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Shallow Decision-Making Analysis in General Video Game Playing. CIG 2018: 1-8 - [c24]Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius
Deep Reinforcement Learning for General Video Game AI. CIG 2018: 1-8 - [c23]Chiara F. Sironi
Self-adaptive MCTS for General Video Game Playing. EvoApplications 2018: 358-375 - [c22]Vanessa Volz, Jacob Schrum, Jialin Liu
Evolving mario levels in the latent space of a deep convolutional generative adversarial network. GECCO 2018: 221-228 - [i17]Simon M. Lucas, Jialin Liu, Diego Perez Liebana:
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CoRR abs/1802.05991 (2018) - [i16]Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang, Olivier Teytaud, Jialin Liu, Su-Wei Lin, Pi-Hsia Hung:
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application. CoRR abs/1802.08822 (2018) - [i15]Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas:
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. CoRR abs/1802.10363 (2018) - [i14]Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi:
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. CoRR abs/1805.00728 (2018) - [i13]Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Shallow decision-making analysis in General Video Game Playing. CoRR abs/1806.01151 (2018) - [i12]Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana:
Deep Reinforcement Learning for General Video Game AI. CoRR abs/1806.02448 (2018) - 2017
- [c21]Jialin Liu
Bandit-based Random Mutation Hill-Climbing. CEC 2017: 2145-2151 - [c20]Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu
The N-Tuple bandit evolutionary algorithm for automatic game improvement. CEC 2017: 2201-2208 - [c19]Jialin Liu
Evolving Game Skill-Depth using General Video Game AI agents. CEC 2017: 2299-2307 - [c18]Raluca D. Gaina, Jialin Liu
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. EvoApplications (1) 2017: 418-434 - [c17]Simon M. Lucas, Jialin Liu
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. SSCI 2017: 1-8 - [i11]Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas:
Evolving Game Skill-Depth using General Video Game AI Agents. CoRR abs/1703.06275 (2017) - [i10]Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana:
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. CoRR abs/1704.07075 (2017) - [i9]Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement. CoRR abs/1705.01080 (2017) - [i8]Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana:
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR abs/1706.05086 (2017) - [i7]Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana:
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR abs/1708.02068 (2017) - 2016
- [j3]Marie-Liesse Cauwet, Jialin Liu
Algorithm portfolios for noisy optimization. Ann. Math. Artif. Intell. 76(1-2): 143-172 (2016) - [j2]Sandra Astete Morales, Marie-Liesse Cauwet, Jialin Liu
Simple and cumulative regret for continuous noisy optimization. Theor. Comput. Sci. 617: 12-27 (2016) - [c16]Jialin Liu
Rolling Horizon Coevolutionary planning for two-player video games. CEEC 2016: 174-179 - [c15]Jialin Liu
Fast Seed-Learning Algorithms for Games. Computers and Games 2016: 58-70 - [c14]Tristan Cazenave, Jialin Liu
Learning opening books in partially observable games: Using random seeds in Phantom Go. CIG 2016: 1-7 - [i6]Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Bandit-Based Random Mutation Hill-Climbing. CoRR abs/1606.06041 (2016) - [i5]Jialin Liu, Olivier Teytaud:
Scenario-based decision-making for power systems investment planning. CoRR abs/1607.01313 (2016) - [i4]Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Rolling Horizon Coevolutionary Planning for Two-Player Video Games. CoRR abs/1607.01730 (2016) - [i3]Tristan Cazenave, Jialin Liu, Fabien Teytaud, Olivier Teytaud:
Learning opening books in partially observable games: using random seeds in Phantom Go. CoRR abs/1607.02431 (2016) - [i2]Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas:
Optimal resampling for the noisy OneMax problem. CoRR abs/1607.06641 (2016) - [i1]David Lupien St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud:
Automatically Reinforcing a Game AI. CoRR abs/1607.08100 (2016) - 2015
- [b1]Jialin Liu:
Portfolio Methods in Uncertain Contexts. (Méthodes de portefeuille en contexte incertain). University of Paris-Saclay, France, 2015 - [c13]Jean-Joseph Christophe, Jérémie Decock, Jialin Liu
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. Artificial Evolution 2015: 219-233 - [c12]Shih-Yuan Chiu, Ching-Nung Lin, Jialin Liu
Differential evolution for strongly noisy optimization: Use 1: 01n resamplings at iteration n and Reach the -1/2 slope. CEC 2015: 338-345 - [c11]David Lupien St-Pierre, Jialin Liu
Nash reweighting of Monte Carlo simulations: Tsumego. CEC 2015: 1458-1465 - [c10]Tristan Cazenave, Jialin Liu
The rectangular seeds of Domineering. CIG 2015: 530-531 - [c9]Mei-Hui Wang, Chi-Shiang Wang, Chang-Shing Lee
Item response theory with fuzzy markup language for parameter estimation and validation. FUZZ-IEEE 2015: 1-7 - [c8]Jérémie Decock, Jialin Liu
Variance Reduction in Population-Based Optimization: Application to Unit Commitment. GECCO (Companion) 2015: 1377-1378 - 2014
- [j1]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:
Strategic Choices in Optimization. J. Inf. Sci. Eng. 30(3): 727-747 (2014) - [c7]David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud:
Sparse binary zero-sum games. ACML 2014 - [c6]David Lupien St-Pierre, Jialin Liu
Differential Evolution algorithm applied to non-stationary bandit problem. IEEE Congress on Evolutionary Computation 2014: 2397-2403 - [c5]Jialin Liu, Olivier Teytaud:
Meta Online Learning: Experiments on a Unit Commitment Problem. ESANN 2014 - [c4]Jialin Liu
A mathematically derived number of resamplings for noisy optimization. GECCO (Companion) 2014: 61-62 - [c3]Marie-Liesse Cauwet, Jialin Liu
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early. LION 2014: 1-15 - 2013
- [c2]Sandra Astete Morales, Jialin Liu
Log-log Convergence for Noisy Optimization. Artificial Evolution 2013: 16-28 - [c1]Sandra Astete Morales, Jialin Liu
Noisy optimization convergence rates. GECCO (Companion) 2013: 223-224
Coauthor Index
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