A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Abbass, Hussein
Information Sharing in the Iterated Prisoner's Dilemma Game
Akatsuka, Yosuke
Reward Allotment Considered Roles for Learning Classifier System
Amft, Oliver
Andregg, Bradley
Anthony, Patricia
Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe
Araki, Nobuo
Move Prediction in Go with the Maximum Entropy Method.
Arndt, Jens
Genetic Algorithms for Finding Optimal Strategies for a Student's Game
Ashlock, Daniel
Cooperation in Prisoner's Dilemma on Graphs
Avery, Phillipa
A Historical Population in a Coevolutionary System
Aycock, John
Extracting NPC behavior from computer games using computer vision and machine learning techniques
Baba, Norio
Evolutionary Computation for Designing Game Rules of the COMMONS GAME
Bahceci, Erkin
Coevolving Strategies for General Game Playing
Baker, Roderick
Bayesian Opponent Modeling in a Simple Poker Environment
Baldwin, Jim
Snooker Robot Player - 20 years on
Bannach, David
Barlow, Michael
Information Sharing in the Iterated Prisoner's Dilemma Game
Barone, Luigi
A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof
Blair, Alan
Effective Use of Transposition Tables in Stochastic Game Tree Search
Bossomaier, Terry
Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and Boxes
Bouvry, Pascal
Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model
Buro, Michael
Adversarial Planning Through Strategy Simulation
Butter, Thomas
Genetic Algorithms for Finding Optimal Strategies for a Student's Game
Carter, Richard
An Investigation into Tournament Poker Strategy using Evolutionary Algorithms
Chen, Wayne
Micro Robot Hockey Simulator - Game Engine Design
Chikayama, Takashi
Automatic Generation of Evaluation Features for Computer Game Players
Cincotti, Alessandro
The Game of Synchronized Cutcake
Cowling, Peter
Bayesian Opponent Modeling in a Simple Poker Environment
Hybrid Evolutionary Learning Approaches for The Virus Game
Darken, Christian
De Nardi, Renzo
Towards automatic personalised content creation for racing games
DeLooze, Lori
Bridge Bidding with Imperfect Information
Denzinger, Joerg
Extracting NPC behavior from computer games using computer vision and machine learning techniques
Downey, James
Bridge Bidding with Imperfect Information
Duminy, Willem
Tournament Particle Swarm Optimization
Engelbrecht, Andries
Tournament Particle Swarm Optimization
Fink, Alex
Extracting NPC behavior from computer games using computer vision and machine learning techniques
Gabel, Thomas
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup
Galindo Flores, Carlos Emilio
Gallagher, Marcus
Evolving Pac-Man Players: Can We Learn from Raw Input?
Gelly, Sylvain
Modifications of UCT and sequence-like simulations for Monte-Carlo Go
Ghoneim, Ayman
Information Sharing in the Iterated Prisoner's Dilemma Game
Glenn, James
Computer Strategies for Solitaire Yahtzee
Goh, Chi Keong
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning
Gomez de Silva Garza, Andres
Grahl, Joern
Genetic Algorithms for Finding Optimal Strategies for a Student's Game
Granmo, Ole-Christoffer
Guha, Ratan
NEAT Particles: Design, Representation, and Animation of Particle System Effects
Hallam, John
Game and Player Feature Selection for Entertainment Capture
Handa, Hisashi
Evolutionary Computation for Designing Game Rules of the COMMONS GAME
Hastings, Erin
NEAT Particles: Design, Representation, and Animation of Particle System Effects
Hayes, Gillian
EvoTanks: Co-Evolutionary Development of Game-Playing Agents
HeeJin, Choi
Hybrid of Evolution and Reinforcement Learning for Othello Players
Heinz, Ernst A.
Hildenbrand, Tobias
Genetic Algorithms for Finding Optimal Strategies for a Student's Game
Hingston, Philip
Evolving Players for an Ancient Game: Hnefatafl
Ho, Kenneth H.L.
Snooker Robot Player - 20 years on
Hossain, Alamgir
Hybrid Evolutionary Learning Approaches for The Virus Game
Iida, Hiroyuki
The Game of Synchronized Cutcake
Jonsson, Egill Orn
Karpov, Igor
Coevolving Strategies for General Game Playing
Klopotek, Mieczyslaw
Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model
Knittel, Anthony
Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and Boxes
Kobti, Ziad
A Multi-Agent Architecture for General Game Playing
Kunze, Kai S.
Kyung-Joong, Kim
Hybrid of Evolution and Reinforcement Learning for Othello Players
Lanctot, Marc
Adversarial Planning Through Strategy Simulation
Ledwich, Mark
Evolving Pac-Man Players: Can We Learn from Raw Input?
Leigh, Ryan
Co-Evolving Influence Map Tree Based Strategy Game Players
Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms
Levine, John
EvoTanks: Co-Evolutionary Development of Game-Playing Agents
An Investigation into Tournament Poker Strategy using Evolutionary Algorithms
Lima Neto, Fernando Buarque
Louis, Sushil
Co-Evolving Influence Map Tree Based Strategy Game Players
Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms
Lucas, Simon M.
Towards automatic personalised content creation for racing games
Lucas, Simon
Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning
Lukowicz, Paul
Madeiro, Salomao Sampaio
Manning, Edward
Martin, Trevor
Snooker Robot Player - 20 years on
Mayer, Helmut
Board Representations for Neural Go Players Learning by Temporal Difference
McDowell, Perry
Michalewicz, Zbigniew
A Historical Population in a Coevolutionary System
Miikkulainen, Risto
Coevolving Strategies for General Game Playing
Miles, Chris
Co-Evolving Influence Map Tree Based Strategy Game Players
Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms
Miwa, Makoto
Automatic Generation of Evaluation Features for Computer Game Players
Munoz-Hernandez, Susana
Fuzzy Prolog as Cognitive Layer in RoboCupSoccer
Naveed, Munir Hussain
Hybrid Evolutionary Learning Approaches for The Virus Game
Ong, Chin Soon
Discovering Chinese Chess Strategies through Coevolutionary Approaches
Oommen, John
Ortiz-Garcia, Emilio G.
Solving Japanese Puzzles with Heuristics
Parker, Gary
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents
Evolving Parameters for Xpilot Combat Agents
Parker, Matt
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents
Evolving Parameters for Xpilot Combat Agents
Payandeh, Shahram
Micro Robot Hockey Simulator - Game Engine Design
Pedersen, Asle
Perez-Bellido, Angel M.
Solving Japanese Puzzles with Heuristics
Pita, Marcelo Rodrigo de Souza
Portilla-Figuras, Antonio
Solving Japanese Puzzles with Heuristics
Quek, Han Yang
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning
Discovering Chinese Chess Strategies through Coevolutionary Approaches
Quiroz, Juan
Co-Evolving Influence Map Tree Based Strategy Game Players
Reisinger, Joseph
Coevolving Strategies for General Game Playing
Riedmiller, Martin
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup
Rothlauf, Franz
Genetic Algorithms for Finding Optimal Strategies for a Student's Game
Runarsson, Thomas Philip
Sailer, Franisek
Adversarial Planning Through Strategy Simulation
Salcedo-Sanz, Sancho
Solving Japanese Puzzles with Heuristics
Sato, Yuji
Reward Allotment Considered Roles for Learning Classifier System
Schmidt, Martin
A Historical Population in a Coevolutionary System
Seredynski, Marcin
Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model
Sharma, Shiven
A Multi-Agent Architecture for General Game Playing
Stanley, Kenneth
NEAT Particles: Design, Representation, and Animation of Particle System Effects
Sung-Bae, Cho
Hybrid of Evolution and Reinforcement Learning for Othello Players
Tan, Kay Chen
Discovering Chinese Chess Strategies through Coevolutionary Approaches
Tay, Arthur
Discovering Chinese Chess Strategies through Coevolutionary Approaches
Teo, Jason
Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe
Thompson, Thomas
EvoTanks: Co-Evolutionary Development of Game-Playing Agents
Togelius, Julian
Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning
Towards automatic personalised content creation for racing games
Troester, Gerhard
Tsujii, Jun'ichi
Move Prediction in Go with the Maximum Entropy Method.
Tsuruoka, Yoshimasa
Move Prediction in Go with the Maximum Entropy Method.
Veness, Joel
Effective Use of Transposition Tables in Stochastic Game Tree Search
Wang, Yizao
Modifications of UCT and sequence-like simulations for Monte-Carlo Go
While, Lyndon
A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof
Wiguna, Wiratna Sari
Fuzzy Prolog as Cognitive Layer in RoboCupSoccer
Wittkamp, Mark
A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof
Yannakakis, Georgios
Game and Player Feature Selection for Entertainment Capture
Yao, Xin
Solving Japanese Puzzles with Heuristics
Yau, Yi Jack
Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe
Yokoyama, Daisaku
Automatic Generation of Evaluation Features for Computer Game Players
Yoshida, Kazuhiro