• Publications
  • Influence
Simulated Car Racing Championship: Competition Software Manual
TLDR
This manual describes the competition software for the Simulated Car Racing Championship. Expand
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The 2009 Simulated Car Racing Championship
TLDR
In this paper, we overview the 2009 Simulated Car Racing Championship-an event comprising three competitions held in association with the 2009 IEEE Congress on Evolutionary Computation (CEC), the 2009 ACM Genetic and Evolutionary Computing Conference (GECCO), and the2009 IEEE Symposium on Computational Intelligence and Games. Expand
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Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension
TLDR
We present a theoretical analysis of the convergence of classifier weights in XCSF which highlights a broader issue. Expand
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The WCCI 2008 simulated car racing competition
TLDR
This paper describes the simulated car racing competition held in association with the IEEE WCCI 2008 conference. Expand
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Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution
TLDR
In this paper, we applied online neuroevolution to evolve nonplayer characters for The Open Racing Car Simulator (TORCS). Expand
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Learning drivers for TORCS through imitation using supervised methods
TLDR
In this paper, we apply imitation learning to develop drivers for The Open Racing Car Simulator (TORCS) using supervised learning to learn car racing behaviors from the data collected from other drivers. Expand
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On-line neuroevolution applied to The Open Racing Car Simulator
TLDR
We propose an on-line neuroevolution approach to evolve non-player characters in TORCS, a state-of-the-art open source car racing simulator. Expand
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Interactive evolution for the procedural generation of tracks in a high-end racing game
TLDR
We present a framework for the procedural generation of tracks for a high-end car racing game (TORCS) using interactive evolution. Expand
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Learning to overtake in TORCS using simple reinforcement learning
TLDR
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Expand
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Searching for the optimal racing line using genetic algorithms
TLDR
In this paper we introduce a novel approach to compute the racing line without any human intervention. Expand
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