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NECO
2007
87views more  NECO 2007»
14 years 10 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
EATIS
2007
ACM
15 years 2 months ago
Ontology Based Affective Context Representation
In this paper we propose an ontology based representation of the affective states for context aware applications that allows expressing the complex relations that are among the af...
Kuderna-Iulian Benta, Anca Rarau, Marcel Cremene
FORMATS
2008
Springer
14 years 12 months ago
Parametric Model-Checking of Time Petri Nets with Stopwatches Using the State-Class Graph
Abstract. In this paper, we propose a new framework for the parametric verification of time Petri nets with stopwatches controlled by inhibitor arcs. We first introduce an extensio...
Louis-Marie Traonouez, Didier Lime, Olivier H. Rou...
IJSYSC
2010
92views more  IJSYSC 2010»
14 years 8 months ago
Constrained optimal control: an application to semiactive suspension systems
This paper applies three different control techniques to the design of a quarter car semiactive suspension system. The three techniques, originally developed to solve a constrain...
Tina Paschedag, Alessandro Giua, Carla Seatzu
ICCCI
2011
Springer
13 years 10 months ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon