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EUROPAR
2009
Springer
16 years 2 days ago
CAMEO: Continuous Analytics for Massively Multiplayer Online Games on Cloud Resources
Massively Multiplayer Online Games (MMOGs) have grown to entertain tens of millions of players daily. Currently, the game operators and third-parties using gameplay information rel...
Alexandru Iosup
168
Voted
GECCO
2009
Springer
16 years 1 days ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
173
Voted
GECCO
2009
Springer
16 years 1 days ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 1 days ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
HUC
2009
Springer
16 years 1 days ago
A Survey on Localization for Mobile Wireless Sensor Networks
Over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols, resource efficiency, and other aspe...
Isaac Amundson, Xenofon D. Koutsoukos