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CIG
2005
IEEE
14 years 4 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
PPSN
2004
Springer
14 years 4 months ago
Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model
In this paper, we aim to design decision-making mechanisms for an autonomous robot equipped with simple sensors, which integrates over time its perceptual experience in order to in...
Elio Tuci, Vito Trianni, Marco Dorigo
ICAISC
2010
Springer
14 years 3 months ago
Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwi...
CEC
2009
IEEE
14 years 3 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...
ECAL
2001
Springer
14 years 3 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...