Snooker Robot Player - 20 years on...1
Kenneth H.L. Ho, Trevor Martin and Jim Baldwin
Micro Robot Hockey Simulator - Game Engine Design...9
Wayne Chen and Shahram Payandeh
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup...17
Martin Riedmiller and Thomas Gabel
Extracting NPC behavior from computer games using computer vision and machine learning techniques...24
Alex Fink, Joerg Denzinger and John Aycock
David Bannach, Oliver Amft, Kai S. Kunze, Ernst A. Heinz, Gerhard Troester and Paul Lukowicz
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning...40
Han Yang Quek and Chi Keong Goh
Cooperation in Prisoner's Dilemma on Graphs...48
Daniel Ashlock
Information Sharing in the Iterated Prisoner's Dilemma Game...56
Ayman Ghoneim, Hussein Abbass and Michael Barlow
A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof...63
Mark Wittkamp, Luigi Barone and Lyndon While
Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms...72
Ryan Leigh, Sushil Louis and Chris Miles
Adversarial Planning Through Strategy Simulation...80
Franisek Sailer, Michael Buro and Marc Lanctot
Co-Evolving Influence Map Tree Based Strategy Game Players...88
Chris Miles, Juan Quiroz, Sushil Louis and Ryan Leigh
Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model...96
Marcin Seredynski, Pascal Bouvry and Mieczyslaw Klopotek
A Historical Population in a Coevolutionary System...104
Phillipa Avery, Zbigniew Michalewicz and Martin Schmidt
Effective Use of Transposition Tables in Stochastic Game Tree Search...112
Joel Veness and Alan Blair
An Investigation into Tournament Poker Strategy using Evolutionary Algorithms...117
Richard Carter and John Levine
Bayesian Opponent Modeling in a Simple Poker Environment...125
Roderick Baker and Peter Cowling
Computer Strategies for Solitaire Yahtzee...132
James Glenn
Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and Boxes...140
Anthony Knittel and Terry Bossomaier
Tournament Particle Swarm Optimization...146
Willem Duminy and Andries Engelbrecht
NEAT Particles: Design, Representation, and Animation of Particle System Effects...154
Erin Hastings, Ratan Guha and Kenneth Stanley
John Oommen, Ole-Christoffer Granmo and Asle Pedersen
Evolving Players for an Ancient Game: Hnefatafl...168
Philip Hingston
Modifications of UCT and sequence-like simulations for Monte-Carlo Go...175
Yizao Wang and Sylvain Gelly
Board Representations for Neural Go Players Learning by Temporal Difference...183
Helmut Mayer
Move Prediction in Go with the Maximum Entropy Method...189
Nobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka and Jun'ichi Tsujii
Hybrid Evolutionary Learning Approaches for The Virus Game...196
Munir Hussain Naveed, Peter Cowling and Alamgir Hossain
Hybrid of Evolution and Reinforcement Learning for Othello Players...203
Kim Kyung-Joong, Choi HeeJin and Cho Sung-Bae
Thomas Philip Runarsson and Egill Orn Jonsson
Solving Japanese Puzzles with Heuristics...224
Sancho Salcedo-Sanz, Emilio G. Ortiz-Garcia, Angel M. Perez-Bellido, Antonio Portilla-Figuras and Xin Yao
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents...232
Matt Parker and Gary Parker
Evolving Parameters for Xpilot Combat Agents...238
Gary Parker and Matt Parker
Game and Player Feature Selection for Entertainment Capture...244
Georgios Yannakakis and John Hallam
Towards automatic personalised content creation for racing games...252
Julian Togelius, Renzo De Nardi and Simon M. Lucas
Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning...260
Simon Lucas and Julian Togelius
Automatic Generation of Evaluation Features for Computer Game Players...268
Makoto Miwa, Daisaku Yokoyama and Takashi Chikayama
A Multi-Agent Architecture for General Game Playing...276
Ziad Kobti and Shiven Sharma
Evolving Pac-Man Players: Can We Learn from Raw Input?...282
Marcus Gallagher and Mark Ledwich
Reward Allotment Considered Roles for Learning Classifier System...288
Yosuke Akatsuka and Yuji Sato
Andres Gomez de Silva Garza and Carlos Emilio Galindo Flores
Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe...304
Yi Jack Yau, Jason Teo and Patricia Anthony
Game AI in Delta3D...312
Christian Darken, Bradley Andregg and Perry McDowell
Coevolving Strategies for General Game Playing...320
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen
EvoTanks: Co-Evolutionary Development of Game-Playing Agents...328
Thomas Thompson, John Levine and Gillian Hayes
Evolutionary Computation for Designing Game Rules of the COMMONS GAME...334
Hisashi Handa and Norio Baba
Fuzzy Prolog as Cognitive Layer in RoboCupSoccer...340
Susana Munoz-Hernandez and Wiratna Sari Wiguna
Genetic Algorithms for Finding Optimal Strategies for a Student's Game...346
Thomas Butter, Franz Rothlauf, Joern Grahl, Tobias Hildenbrand and Jens Arndt
Marcelo Rodrigo de Souza Pita, Salomao Sampaio Madeiro and Fernando Buarque Lima Neto
Discovering Chinese Chess Strategies through Coevolutionary Approaches...360
Chin Soon Ong, Han Yang Quek, Kay Chen Tan and Arthur Tay
Bridge Bidding with Imperfect Information...368
Lori DeLooze and James Downey
The Game of Synchronized Cutcake...374
Alessandro Cincotti and Hiroyuki Iida