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» Learning and Applying Competitive Strategies
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HIS
2008
15 years 5 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
149
Voted
ANTSW
2010
Springer
15 years 1 months ago
A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach
Abstract. In this paper, a Cooperative Network Game (CNG) is introduced. In this game, all players have the same goal: display a video content in real time, with no cuts and low bu...
Pablo Romero, Franco Robledo, Pablo Rodrígu...
CIG
2006
IEEE
15 years 9 months ago
Voronoi game on graphs and its complexity
The Voronoi game is a two-person game which is a model for a competitive facility location. The game is done on a continuous domain, and only two special cases (1-dimensional case ...
Sachio Teramoto, Erik D. Demaine, Ryuhei Uehara
152
Voted
AIEDU
2008
162views more  AIEDU 2008»
15 years 3 months ago
Designing Learning by Teaching Agents: The Betty's Brain System
The idea that teaching others is a powerful way to learn is intuitively compelling and supported in the research literature. We have developed computer-based, domain-independent Te...
Krittaya Leelawong, Gautam Biswas
CIG
2006
IEEE
15 years 9 months ago
Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation
Abstract— This paper compares the use of temporal difference learning (TDL) versus co-evolutionary learning (CEL) for acquiring position evaluation functions for the game of Othe...
Simon M. Lucas, Thomas Philip Runarsson