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CEC
2010
IEEE
13 years 10 months ago
Evolving programs with parameters and loops
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
Gayan Wijesinghe, Victor Ciesielski
ICML
2010
IEEE
13 years 10 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
SIMULATION
2008
139views more  SIMULATION 2008»
13 years 8 months ago
Constitutive Hybrid Processes: a Process-Algebraic Semantics for Hybrid Bond Graphs
Models of physical systems have to be based on physical principles such as conservation of energy and continuity of power. These principles are inherently enforced by the bond gra...
Pieter J. L. Cuijpers, Jan F. Broenink, Pieter J. ...
CORR
2004
Springer
142views Education» more  CORR 2004»
13 years 8 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
LOGCOM
2002
116views more  LOGCOM 2002»
13 years 8 months ago
Formalizing Collaborative Decision-making and Practical Reasoning in Multi-agent Systems
paper, we present an abstract formal model of decision-making in a social setting that covers all aspects of the process, from recognition of a potential for cooperation through t...
Pietro Panzarasa, Nicholas R. Jennings, Timothy J....