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ORCIDCIG 2018: Maastricht, The Netherlands
- 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, The Netherlands, August 14-17, 2018. IEEE 2018, ISBN 978-1-5386-4359-4
- Vanessa Volz, Kevin Majchrzak, Mike Preuss:
A Social Science-based Approach to Explanations for (Game) AI. 1-2 - Gabriel Toschi de Oliveira, Claudio Fabiano Motta Toledo, Seiji Isotani
, Geiser Chalco Challco, Hugo Henriques Pereira:
A Plot from the Stars: Educational Game Development for Teaching Basic Mathematical Functions. 1-8 - Oleksandra G. Keehl, Adam M. Smith:
Monster Carlo: An MCTS-based Framework for Machine Playtesting Unity Games. 1-8 - Mohammed Salem, Antonio Miguel Mora, Juan Julián Merelo Guervós:
The Evolutionary Race: Improving the Process of Evaluating Car Controllers in Racing Simulators. 1-8 - Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu:
Shallow Decision-Making Analysis in General Video Game Playing. 1-8 - André Siqueira Ruela, Karina Valdivia Delgado:
Scale-Free Evolutionary Level Generation. 1-8 - Ryota Ishii, Suguru Ito, Makoto Ishihara, Tomohiro Harada, Ruck Thawonmas:
Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas. 1-8 - Maciej Swiechowski, Tomasz Tajmajer, Andrzej Janusz:
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms. 1-8 - Zuozhi Yang, Santiago Ontañón:
Learning Map-Independent Evaluation Functions for Real-Time Strategy Games. 1-7 - Chrysanthi Tziortzioti, Irene Mavrommati, Georgios Mylonas, Andrea Vitaletti, Ioannis Chatzigiannakis:
Scenarios for Educational and Game Activities using Internet of Things Data. 1-8 - Sandra Kaczmarek, Sintija Petrovica:
Promotion of Learning Motivation through Individualization of Learner-Game Interaction. 1-8 - Pavan Kantharaju, Santiago Ontañón, Christopher W. Geib:
μCCG, a CCG-based Game-Playing Agent for μRTS. 1-8 - Michael Nixon, Steve DiPaola, Ulysses Bernardet:
An Eye Gaze Model for Controlling the Display of Social Status in Believable Virtual Humans. 1-8 - Daniel A. Ashlock, Courtney Kolthof:
Evolving Number Sentence Morphing Puzzles. 1-8 - Rahul Dubey, Joseph Ghantous, Sushil J. Louis, Siming Liu:
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro. 1-8 - Makoto Ishihara, Suguru Ito, Ryota Ishii, Tomohiro Harada, Ruck Thawonmas:
Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors. 1-8 - Simon M. Lucas:
Game AI Research with Fast Planet Wars Variants. 1-4 - Jack Harmer, Linus Gisslén, Jorge del Val, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin:
Imitation Learning with Concurrent Actions in 3D Games. 1-8 - Samuel Mascarenhas, Manuel Guimarães, Rui Prada, João Dias, Pedro Alexandre Santos, Kam Star, Ben Hirsh, Ellis Spice, Rob Kommeren:
A Virtual Agent Toolkit for Serious Games Developers. 1-7 - Vadim Bulitko, Kacy Doucet:
Anxious Learning in Real-Time Heuristic Search. 1-4 - Philip Rodgers, John Levine, Damien Anderson:
Ensemble Decision Making in Real-Time Games. 1-8 - Chiara F. Sironi, Mark H. M. Winands:
Analysis of Self-Adaptive Monte Carlo Tree Search in General Video Game Playing. 1-4 - Hendrik Baier, Peter I. Cowling:
Evolutionary MCTS for Multi-Action Adversarial Games. 1-8 - Rutger Kraaijer, Marc J. van Kreveld, Wouter Meulemans, André van Renssen:
Geometry and Generation of a New Graph Planarity Game. 1-8 - Frank G. Glavin, Michael G. Madden:
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning. 1-8 - Maria Cutumisu:
The Influence of Feedback Choice on University Students' Revision Choices and Performance in a Digital Assessment Game. 1-7 - Amin Babadi, Kourosh Naderi, Perttu Hämäläinen:
Intelligent Middle-Level Game Control. 1-8 - Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. 1-8 - Alexander Dockhorn, Daan Apeldoorn:
Forward Model Approximation for General Video Game Learning. 1-8 - Michael Cook, Simon Colton, Azalea Raad:
Inferring Design Constraints From Game Ruleset Analysis. 1-8 - Martin L. M. Rooijackers, Mark H. M. Winands:
Wall Building in the Game of StarCraft with Terrain Considerations. 1-5 - Anders Harboell Christiansen, Bo Friis Nielsen, Emil Gensby:
Multi-Parameterised Matchmaking: A Framework. 1-4 - Fernando de Mesentier Silva, Julian Togelius, Frank Lantz, Andy Nealen:
Generating Novice Heuristics for Post-Flop Poker. 1-8 - Cristina Guerrero-Romero, Simon M. Lucas, Diego Pérez-Liébana:
Using a Team of General AI Algorithms to Assist Game Design and Testing. 1-8 - Magnus Gedda, Mikael Z. Lagerkvist, Martin Butler:
Monte Carlo Methods for the Game Kingdomino. 1-8 - Cameron Browne:
Modern Techniques for Ancient Games. 1-8 - Garrison W. Greenwood, Hussein A. Abbass, Eleni Petraki:
A Critical Analysis of Punishment in Public Goods Games. 1-5 - Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana:
Deep Reinforcement Learning for General Video Game AI. 1-8 - Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu:
Learning Battles in ViZDoom via Deep Reinforcement Learning. 1-4 - Daniel Karavolos, Antonios Liapis, Georgios N. Yannakakis:
Using a Surrogate Model of Gameplay for Automated Level Design. 1-8 - Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl:
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. 1-8 - Anderson R. Tavares, Luiz Chaimowicz:
Tabular Reinforcement Learning in Real-Time Strategy Games via Options. 1-8 - Daniel A. Ashlock, Eun-Youn Kim, Diego Pérez-Liébana:
Toward General Mathematical Game Playing Agents. 1-7 - Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-Creativity. 1-8 - Jakub Kowalski, Radoslaw Miernik, Piotr Pytlik, Maciej Pawlikowski, Krzysztof Piecuch, Jakub Sekowski:
Strategic Features and Terrain Generation for Balanced Heroes of Might and Magic III Maps. 1-8 - Myat Aung, Valerio Bonometti, Anders Drachen, Peter I. Cowling, Athanasios Vasileios Kokkinakis, C. Yoder, Alex R. Wade:
Predicting Skill Learning in a Large, Longitudinal MOBA Dataset. 1-7 - Jichen Zhu, Antonios Liapis, Sebastian Risi, Rafael Bidarra, G. Michael Youngblood:
Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation. 1-8 - Pavlos Kosmides, Konstantinos P. Demestichas, Evgenia F. Adamopoulou, Nikos Koutsouris, Yannis Oikonomidis, Vanessa De Luca:
InLife: Combining Real Life with Serious Games using IoT. 1-7 - Jakub Kowalski, Andrzej Kisielewicz:
Regular Language Inference for Learning Rules of Simplified Boardgames. 1-8 - Devon Sigurdson, Vadim Bulitko, William Yeoh, Carlos Hernández, Sven Koenig:
Multi-Agent Pathfinding with Real-Time Heuristic Search. 1-8 - Yoshina Takano, Wenwen Ouyang, Suguru Ito, Tomohiro Harada, Ruck Thawonmas:
Applying Hybrid Reward Architecture to a Fighting Game AI. 1-4 - William Woof, Ke Chen:
Learning to Play General Video-Games via an Object Embedding Network. 1-8 - Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
General Win Prediction from Agent Experience. 1-8 - Stefan Freyr Gudmundsson, Philipp Eisen, Erik Poromaa, Alex Nodet, Sami Purmonen, Bartlomiej Kozakowski, Richard Meurling, Lele Cao:
Human-Like Playtesting with Deep Learning. 1-8 - Luiz Bernardo Martins Kummer, Júlio César Nievola, Emerson Cabrera Paraiso:
Applying Commitment to Churn and Remaining Players Lifetime Prediction. 1-8 - Bryan S. Weber:
Standard Economic Models in Nonstandard Settings - StarCraft: Brood War. 1-8 - Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. 1-8 - Christoph Salge, Christian Guckelsberger, Rodrigo Canaan, Tobias Mahlmann:
Accelerating Empowerment Computation with UCT Tree Search. 1-8 - Niels Justesen, Sebastian Risi:
Automated Curriculum Learning by Rewarding Temporally Rare Events. 1-8 - Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. 1-8 - Adam Streck, Thomas Wolbers:
Using Discrete Time Markov Chains for Control of Idle Character Animation. 1-4 - In-Chang Baek, Kyung-Joong Kim:
Web-Based Interface for Data Labeling in StarCraft. 1-2 - Sam Ganzfried, Qingyun Sun:
Bayesian Opponent Exploitation in Imperfect-Information Games. 1-8 - Christian Guckelsberger, Christoph Salge, Julian Togelius:
New And Surprising Ways to Be Mean. 1-8 - Evaggelos Spyrou, Nicholas Vretos, Andrew Pomazanskyi, Stylianos Asteriadis, Helen C. Leligou:
Exploiting IoT Technologies for Personalized Learning. 1-8 - Shanchuan Wan, Tomoyuki Kaneko:
Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks. 1-8 - Paul Bertens, Anna Guitart, Pei Pei Chen, Africa Perianez:
A Machine-Learning Item Recommendation System for Video Games. 1-4 - Aavaas Gajurel, Sushil J. Louis, Daniel J. Mendez, Siming Liu:
Neuroevolution for RTS Micro. 1-8 - Chrysoula Varia, Georgios Tsatiris, Kostas Karpouzis, Stefanos D. Kollias:
A Refined 3D Dataset for the Analysis of Player Actions in Exertion Games. 1-4
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