Pac-Man (and variant) computer games have received some recent attention in Artificial Intelligence research. One reason is that the game provides a platform that is both simple enough to conduct experimental research and complex enough to require non-trivial strategies for successful game-play. This paper describes an approach to developing Pac-Man playing agents that learn game-play based on minimal on-screen information. The agents are based on evolving neural network controllers using a simple evolutionary algorithm. The results show that neuroevolution is able to produce agents that display novice playing ability, with a minimal amount of on-screen information, no knowledge of the rules of the game and a minimally informative fitness f...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
Applications of Evolutionary Computation : EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, Evo...
In this paper we show how combining fuzzy sets and reinforcement learning a winning agent can be cre...
Abstract. In this paper we present the development and implementation of a neural network-based cont...
Pac-Man is a well-known, real-time computer game that provides an interesting platform for research....
Recent developments in nature-inspired computation have heightened the need for research into the th...
Game playing has long been a central topic in artificial intelligence. Whereas early research focuse...
Artificial Intelligence (AI) techniques are successfully used and applied in a wide range of areas, ...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Recently, there has been an increasing interest in game artificial intelligence (AI). Game AI is a s...
This file was last viewed in Microsoft Edge.Neural networks have been widely used for their ability ...
In this paper we introduce experiments on neuro-evolution mechanisms applied to predator/prey multi-...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
Applications of Evolutionary Computation : EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, Evo...
In this paper we show how combining fuzzy sets and reinforcement learning a winning agent can be cre...
Abstract. In this paper we present the development and implementation of a neural network-based cont...
Pac-Man is a well-known, real-time computer game that provides an interesting platform for research....
Recent developments in nature-inspired computation have heightened the need for research into the th...
Game playing has long been a central topic in artificial intelligence. Whereas early research focuse...
Artificial Intelligence (AI) techniques are successfully used and applied in a wide range of areas, ...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Recently, there has been an increasing interest in game artificial intelligence (AI). Game AI is a s...
This file was last viewed in Microsoft Edge.Neural networks have been widely used for their ability ...
In this paper we introduce experiments on neuro-evolution mechanisms applied to predator/prey multi-...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
In this paper we propose an evolutionary approach capable of successfully combining rules to play th...
Applications of Evolutionary Computation : EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, Evo...
In this paper we show how combining fuzzy sets and reinforcement learning a winning agent can be cre...