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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
DNA
2007
Springer
107views Bioinformatics» more  DNA 2007»
15 years 4 months ago
Autonomous Programmable Nanorobotic Devices Using DNAzymes
Abstract. A major challenge in nanoscience is the design of synthetic molecular devices that run autonomously and are programmable. DNA-based synthetic molecular devices have the a...
John H. Reif, Sudheer Sahu
CEEMAS
2005
Springer
15 years 3 months ago
Diagnosis of Plans and Agents
Abstract. We discuss the application of Model-Based Diagnosis in (agentbased) planning. Here, a plan together with its executing agent is considered as a system to be diagnosed. It...
Nico Roos, Cees Witteveen
EUROGP
2005
Springer
15 years 3 months ago
Evolving L-Systems to Capture Protein Structure Native Conformations
Abstract. A protein is a linear chain of amino acids that folds into a unique functional structure, called its native state. In this state, proteins show repeated substructures lik...
Gabi Escuela, Gabriela Ochoa, Natalio Krasnogor
SARA
2005
Springer
15 years 3 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan