default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID1st CIG 2005: Colchester, Essex, UK
- Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), Essex University, Colchester, Essex, UK, 4-6 April, 2005. IEEE 2005
- Georgios N. Yannakakis, John Hallam:
A Generic Approach for Generating Interesting Interactive Pac-Man Opponents. - Peter Blackburn, Barry O'Sullivan:
Building Reactive Characters for Dynamic Gaming Environments. - Leslie Luthi, Mario Giacobini, Marco Tomassini:
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners. - Jörg Denzinger, Chris Winder:
Combining Coaching and Learning to Create Cooperative Character Behavior. - Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award). - Umberto Cerruti, Mario Giacobini, Ugo Merlone:
A New Framework to Analyze Evolutionary 2 x 2 Symmetric Games. - Jin-Hyuk Hong, Sung-Bae Cho:
Evolving Reactive NPCs for the Real-Time Simulation Game. - Kazutomo Shibahara, Nobuo Inui, Yoshiyuki Kotani:
Adaptive Strategies of MTD-f for Actual Games. - Bruno Bouzy, Guillaume Chaslot:
Bayesian Generation and Integration of K-nearest-neighbor Patterns for 19x19 Go. - Tristan Cazenave, Bernard Helmstetter:
Combining Tactical Search and Monte-Carlo in the Game of Go. - Nanlin Jin, Edward P. K. Tsang:
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. - Jörg Denzinger, Kevin Loose, Darryl Gates, John W. Buchanan:
Dealing with Parameterized Actions in Behavior Testing of Commercial Computer Games. - Akihiro Kishimoto, Martin Müller:
Dynamic Decomposition Search: A Divide and Conquer Approach and its Application to the One-Eye Problem in Go. - Evangelos Papacostantis, Andries P. Engelbrecht, Nelis Franken:
Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm. - Colin Frayn:
An Evolutionary Approach to Strategies for the Game of Monopoly. - Yngvi Björnsson, Markus Enzenberger, Robert C. Holte, Jonathan Schaeffer:
Fringe Search: Beating A* at Pathfinding on Game Maps. - Maria Fasli, Michael Michalakopoulos:
Designing and Implementing E-market Games. - Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Nikos Vlassis:
Utile Coordination: Learning Interdependencies Among Cooperative Agents. - Jay Bradley, Gillian Hayes:
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions. - Abdennour El Rhalibi, Michael Burkey:
A Hybrid AI System for Agent Adaptation in a First Person Shooter. - Aliza Gold:
Academic AI and Videogames: A Case Study of Incorporating Innovative Academic Research Into a Videogame Prototype. - Michael Chung, Michael Buro, Jonathan Schaeffer:
Monte Carlo Planning in RTS Games. - Daniel Livingstone:
Coevolution in Hierarchical AI for Strategy Games. - Julian Togelius, Simon M. Lucas:
Forcing Neurocontrollers to Exploit Sensory Symmetry Through Hard-wired Modularity in the Game of Cellz. - Simon M. Lucas:
Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man. - Peter I. Cowling:
Board Evaluation For The Virus Game. - David B. Fogel, Timothy J. Hays, Sarah L. Hahn, James Quon:
Further Evolution of a Self-Learning Chess Program. - Chris Miles, Sushil J. Louis:
Case-Injection Improves Response Time for a Real-Time Strategy Game.
Posters
- Kenneth Chisholm, Donald Fleming:
A Study of Machine Learning using the Game of Fox and Geese. - Damien Devigne, Philippe Mathieu, Jean-Christophe Routier:
Team of cognitive agents with a leader: how to let them acquire autonomy. - Erfu Yang, Dongbing Gu:
A Survey on Multiagent Reinforcement Learning Towards Multi-Robot Systems. - Kevin Burns:
Pared-down Poker: Cutting to the Core of Command and Control. - Kevin Burns:
On TRACS: Dealing with a Deck of Double-Sided Cards. - Colin Fyfe:
Incrementally Learned Subjectivist Probabilities in Games. - Timo Steffens:
Similarity-based Opponent Modelling using Imperfect Domain Theories. - Haruhiro Yoshimoto, Rie Shigetomi, Hideki Imai:
How to Protect Peer-to-Peer Online Games from Cheats. - Gayle Leen, Colin Fyfe:
Training an AI Player to play Pong Using the GTM. - Jordan B. Pollack:
Nannon: A Nano Backgammon for Machine Learning Research.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-15 19:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
