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ORCIDIEEE Transactions on Games, Volume 16
Volume 16, Number 1, March 2024
- Caroline L. Resek
, Pedro P. Siniscalchi, Bárbara Pimenta Caetano, Kayque W. R. Oliveira, Melise M. V. Paula, Jano M. Souza:
Gamification of Citizen Participation: A Systematic Mapping. 1-15 - Damian Kutzias, Sebastian von Mammen:
Recent Advances in Procedural Generation of Buildings: From Diversity to Integration. 16-35 - Anurag Sarkar, Matthew Guzdial, Sam Snodgrass, Adam Summerville, Tiago Machado, Gillian Smith:
Procedural Content Generation via Knowledge Transformation (PCG-KT). 36-50 - Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. 51-63 - Leonardo Tórtoro Pereira, Breno M. F. Viana, Claudio Fabiano Motta Toledo:
A System for Orchestrating Multiple Procedurally Generated Content for Different Player Profiles. 64-74 - Megan Charity, Isha Dave, Ahmed Khalifa, Julian Togelius:
Baba is Y'all 2.0: Design and Investigation of a Collaborative Mixed-Initiative System. 75-89 - Qian Luo, Tien-Ping Tan, Yi Su, Zhanggen Jin:
MDou: Accelerating DouDiZhu Self-Play Learning Using Monte-Carlo Method With Minimum Split Pruning and a Single Q-Network. 90-101 - Xiaoyun Feng, Li Jiang, Xudong Yu, Haoran Xu, Xiaoyan Sun, Jie Wang, Xianyuan Zhan, Wai Kin Chan:
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. 102-112 - Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov:
Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. 113-126 - Susanna Värtinen, Perttu Hämäläinen, Christian Guckelsberger:
Generating Role-Playing Game Quests With GPT Language Models. 127-139 - Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. 140-150 - Yufan Xue, Yuxiang Sun, Jiawei Zhou, Lisha Peng, Xianzhong Zhou:
Multiattribute Decision-Making in Wargames Leveraging the Entropy-Weight Method in Conjunction With Deep Reinforcement Learning. 151-161 - Chuan Wang, Bing Sun, Ke-Jing Du, Jian-Yu Li, Zhi-Hui Zhan, Sang-Woon Jeon, Hua Wang, Jun Zhang:
A Novel Evolutionary Algorithm With Column and Sub-Block Local Search for Sudoku Puzzles. 162-172 - Tristan Walker, Barry Gilhuly, Armin Sadeghi, Matt Delbosc, Stephen L. Smith:
Predictive Dead Reckoning for Online Peer-to-Peer Games. 173-184 - Nicola Mignoni, Raffaele Carli, Mariagrazia Dotoli:
Optimal Decision Strategies for the Generalized Cuckoo Card Game. 185-194 - Bruno Lopes Xavier, Davi Viana, Rodrigo Pereira dos Santos:
A Dive Into the State of the Practice of the Brazilian Game Software Ecosystem. 195-204 - Antonio Costantino Marceddu, Bartolomeo Montrucchio:
A Quantum Adaptation for the Morra Game and Some of Its Variants. 205-213 - Celso França, Zisen Zhou, Carolina Fernanda da Silva, Cibele Simões de Oliveira Santos, Lucas Braga Ferreira, Lucas Henrique Pereira, Marcos Pablo Souza de Almeida, Marina Iolanda Oliveira, Thaís Damásio, Vinícius Pacheco, Fabrício Góes:
CreativeStone: A Creativity Booster for Hearthstone Card Decks. 214-224 - Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han:
The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. 225-234 - Cong Lu, Raluca Georgescu, Johan Verwey:
Go-Explore Complex 3-D Game Environments for Automated Reachability Testing. 235-240 - Claudio Rubio, Ismael Gallardo, Felipe Besoain:
Promoting Healthy Behaviors Through an RPG Videogame: An Elaboration Likelihood Model Based Approach. 241-246
Volume 16, Number 2, June 2024
- Lincoln Magalhães Costa, Anders Drachen, Francisco Carlos Monteiro Souza, Geraldo Xexéo:
Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping. 250-269 - Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang, Aiguo Song:
Attention-Based Intrinsic Reward Mixing Network for Credit Assignment in Multiagent Reinforcement Learning. 270-281 - Chung-Chin Shih, Ting-Han Wei, Ti-Rong Wu, I-Chen Wu:
A Local-Pattern Related Look-Up Table. 282-290 - Xinjie Gu, Gang Liu, Xiangbo Zhang, Lili Tang, Xihong Zhou, Weifang Qiu:
Infrared-Visible Synthetic Data from Game Engine for Image Fusion Improvement. 291-302 - Roberto Gallotta, Kai Arulkumaran, Lisa B. Soros:
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms. 303-316 - Ruo-Ze Liu, Yanjie Shen, Yang Yu, Tong Lu:
Revisiting of AlphaStar. 317-330 - Robert Ross, Richard Hall:
Tabletop Escape Room Activities for Engaging Outreach in Engineering - A Preliminary Approach. 331-341 - Andrew Bauer:
Artificial Intelligence With Graph Neural Networks Applied to a Risk-Like Board Game. 342-351 - Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. 352-364 - Simão Reis, Rita Novais, Luís Paulo Reis, Nuno Lau:
An Adversarial Approach for Automated Pokémon Team Building and Metagame Balance. 365-375 - Chia-Ru Chung, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Sheng-Yang Lin:
Qigong Master: A Qigong-Based Attention Training Game Using Action Recognition and Balance Analysis. 376-383 - Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber:
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. 384-395 - Yu-Yen Chung, Prabhakaran Balakrishnan:
Optimizing Camera Setup for In-Home First-Person Rendering Mixed-Reality Gaming System. 396-408 - Mohammad Matin Amini, Vahid Shalchyan:
Designing a Motion-Onset Visual-Evoked Potential-Based Brain-Computer Interface to Control a Computer Game. 409-418 - Kuei-Tso Lee, Yen-Yun Huang, Je-Ruei Yang, Sheng-Jyh Wang:
Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking. 419-430 - Chris Martens, Alexander Card, Henry Crain, Asha Khatri:
Modeling Game Mechanics With Ceptre. 431-444 - Xiangxu Yu, Zhenqiang Ying, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
Subjective and Objective Analysis of Streamed Gaming Videos. 445-458 - Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. 459-469 - Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang:
Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. 470-482 - Akash Adhikari, Stanislav Anatolyev, Dmitry Dagaev:
Do Mistakes Provoke New Mistakes? Evidence From Chess. 483-488 - Ziqi Wang, Tianye Shu, Jialin Liu:
State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. 489-492 - Markos Viggiato, Cor-Paul Bezemer:
Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews. 493-496
Volume 16, Number 3, September 2024
- Cale Plut, Philippe Pasquier, Jeff Ens, Renaud Bougueng:
PreGLAM: A Predictive Gameplay-Based Layered Affect Model. 497-508 - Zheng Fang, Biao Zhao, Guizhong Liu:
Image Augmentation-Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes. 509-517 - Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li:
Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-Guided Training and Bidding Learning. 518-529 - Mao Xu, Shuzhi Sam Ge, Dongjie Zhao, Qian Zhao:
Improved Exploration With Demonstrations in Procedurally-Generated Environments. 530-543 - Yixian Zhang, Zhuoxuan Li, Yiding Cao, Xuan Zhao, Jinde Cao:
Deep Reinforcement Learning Using Optimized Monte Carlo Tree Search in EWN. 544-555 - Jian Zhao, Mingyu Yang, Youpeng Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li:
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning. 556-565 - Yuxiang Mai, Yifan Zang, Qiyue Yin, Wancheng Ni, Kaiqi Huang:
Deep Multitask Multiagent Reinforcement Learning With Knowledge Transfer. 566-576 - Ying-Jih Ding, Wun-She Yap, Kok-Chin Khor:
Profiling and Identifying Smurfs or Boosters on Dota 2 Using K-Means and IQR. 577-585 - Kyle Worrall, Tom Collins:
Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology. 586-597 - Lucien Troillet, Kiminori Matsuzaki:
Evaluating the Influence of Imperfect Information in Geister Using DREAM Trained Agents. 598-610 - Shiwei Zhao, Jiaheng Qi, Zhipeng Hu, Han Yan, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games. 611-620 - Wei Li, Ziming Qiu, Shitong Shao, Aiguo Song:
MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning. 621-634 - Jean-Baptiste Hervé, Christoph Salge, Henrik Warpefelt:
An Examination of the Hidden Judging Criteria in the Generative Design in Minecraft Competition. 635-644 - Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyoun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. 645-658 - Anurag Sarkar, Seth Cooper:
Latent Combinational Game Design. 659-669 - Kexing Peng, Tinghuai Ma, Xin Yu, Huan Rong, Yurong Qian, Najla Al-Nabhan:
GCMA: An Adaptive Multiagent Reinforcement Learning Framework With Group Communication for Complex and Similar Tasks Coordination. 670-682 - Daniel L. Gardner, LouAnne Boyd, Reginald T. Gardner:
Piecing Together Performance: Collaborative, Participatory Research-Through-Design for Better Diversity in Games. 683-696 - Mohammad Reza Taesiri, Finlay Macklon, Sarra Habchi, Cor-Paul Bezemer:
Searching Bug Instances in Gameplay Video Repositories. 697-710 - Wilson Kazuo Mizutani, Fabio Kon:
Rulebook: An Architectural Pattern for Self-Amending Mechanics in Digital Games. 711-721 - Sara Karimi, Sahar Asadi, Amir Hossein Payberah:
BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. 722-734 - Gianluca Guglielmo, Michal Klincewicz, Elisabeth Huis in 't Veld, Pieter Spronck:
Tracking Early Differences in Tetris Performance Using Eye Aspect Ratio Extracted Blinks. 735-741
Volume 16, Number 4, December 2024
- Alena Denisova, Diego Perez Liebana, Vanessa Volz, Julian Frommel, Sahar Asadi:
Guest Editorial: Special Issue on Human Centered AI in Game Evaluation. 742-745 - Sicheng Pan, Gary J. W. Xu, Kun Guo, Seop Hyeong Park, Hongliang Ding:
Video-Based Engagement Estimation of Game Streamers: An Interpretable Multimodal Neural Network Approach. 746-757 - Sicheng Pan, Gary J. W. Xu, Kun Guo, Seop Hyeong Park, Hongliang Ding:
Cultural Insights in Souls-Like Games: Analyzing Player Behaviors, Perspectives, and Emotions Across a Multicultural Context. 758-769 - Yusheng Sun, Yuxiang Sun, Jiahui Yu, Yuanbai Li, Xianzhong Zhou:
Predicting Wargame Outcomes and Evaluating Player Performance From an Integrated Strategic and Operational Perspective. 770-782 - Monica Villanueva Aylagas, Joakim Bergdahl, Jonas Gillberg, Alessandro Sestini, Theodor Tolstoy, Linus Gisslén:
Improving Conditional Level Generation Using Automated Validation in Match-3 Games. 783-792 - Elham Azizi, Loutfouz Zaman:
AstroBug: Automatic Game Bug Detection Using Deep Learning. 793-806 - SangGyu Nam, Chu-Hsuan Hsueh, Pavinee Rerkjirattikal, Kokolo Ikeda:
Using Reinforcement Learning to Generate Levels of Super Mario Bros. With Quality and Diversity. 807-820 - Akash Saravanan, Matthew Guzdial:
A Framework for Predicting the Impact of Game Balance Changes Through Meta Discovery. 821-830 - Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda:
More Human-Like Gameplay by Blending Policies From Supervised and Reinforcement Learning. 831-843 - Pablo Gutiérrez-Sánchez, Marco Antonio Gómez-Martín, Pedro A. González-Calero, Pedro Pablo Gómez-Martín:
A Progress-Based Algorithm for Interpretable Reinforcement Learning in Regression Testing. 844-853 - Emma J. Pretty, Renan Guarese, Chloe A. Dziego, Haytham M. Fayek, Fabio Zambetta:
Multimodal Measurement of Cognitive Load in a Video Game Context: A Comparative Study Between Subjective and Objective Metrics. 854-867 - He Zhang, Xinyang Li, Xinyi Fu, Christine Qiu, Jiyuan Zhang, John M. Carroll:
Understanding Fear Responses and Coping Mechanisms in VR Horror Gaming: Insights From Semistructured Interviews. 868-881 - Jonathan Campbell, Clark Verbrugge:
Procedural Generation of Rollercoasters. 882-891 - Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Julian Togelius:
Nested Wave Function Collapse Enables Large-Scale Content Generation. 892-902 - Florian Rupp, Manuel Eberhardinger, Kai Eckert:
Simulation-Driven Balancing of Competitive Game Levels With Reinforcement Learning. 903-913 - Youpeng Zhao, Yudong Lu, Jian Zhao, Wengang Zhou, Houqiang Li:
DanZero+: Dominating the GuanDan Game Through Reinforcement Learning. 914-926 - George E. M. Long, Diego Perez Liebana, Spyridon Samothrakis:
STEP: A Framework for Automated Point Cost Estimation. 927-936 - Vikram Kumaran, Dan Carpenter, Jonathan P. Rowe, Bradford W. Mott, James C. Lester:
Procedural Level Generation in Educational Games From Natural Language Instruction. 937-946 - Seung Y. Lee, Bradford W. Mott, Jessica Vandenberg, Hiller A. Spires, James C. Lester:
Exploring Gameplay and Learning in a Narrative-Centered Digital Game for Elementary Science Education. 947-959 - Timo Bertram, Johannes Fürnkranz, Martin Müller:
Neural Network-Based Information Set Weighting for Playing Reconnaissance Blind Chess. 960-970 - Febri Abdullah, Pittawat Taveekitworachai, Mury F. Dewantoro, Ruck Thawonmas, Julian Togelius, Jochen Renz:
The First ChatGPT4PCG Competition. 971-980 - Trent L. Simmons, Joseph Snider, Leanne Chukoskie:
The Effects of Social Presence on Gaze, Movement, Arousal and Blink Rate in Autism: A Cooperative Virtual Reality Game-Based Approach. 981-992 - Martin Balla, George E. M. Long, James Goodman, Raluca D. Gaina, Diego Perez Liebana:
PyTAG: Tabletop Games for Multiagent Reinforcement Learning. 993-1002
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