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ATAL
2005
Springer
13 years 10 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
ACG
2009
Springer
13 years 11 months ago
Incongruity-Based Adaptive Game Balancing
Abstract. Commercial games have various methods of game balancing, which modify the game’s entertainment value for players of different skill levels. This paper presents a way o...
Giel van Lankveld, Pieter Spronck, H. Jaap van den...
AIIDE
2008
13 years 7 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
AIIDE
2007
13 years 7 months ago
Automatic Design of Balanced Board Games
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...
Joe Marks, Vincent Hom
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 8 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone