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» Combining Learned Discrete and Continuous Action Models
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WSC
1997
15 years 5 months ago
Simulation of Multiple Time-Pressured Agents
The paper describes a simulation substrate that allows thinking agents to interact with a world. The world is simulated by standard discrete event simulation, but the timing of an...
Scott D. Anderson
UAI
2008
15 years 5 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 9 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
WSC
2007
15 years 6 months ago
Multiscale models of bacterial populations
We present a hybrid model of the interactions within (multiple-species) populations of bacteria in a developing biofilm which integrates continuum models of population processes ...
Michael Lees, Brian Logan, John King
ATVA
2007
Springer
115views Hardware» more  ATVA 2007»
15 years 10 months ago
A Compositional Semantics for Dynamic Fault Trees in Terms of Interactive Markov Chains
Abstract. Dynamic fault trees (DFTs) are a versatile and common formalism to model and analyze the reliability of computer-based systems. This paper presents a formal semantics of ...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...