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JAIR
2011
187views more  JAIR 2011»
15 years 1 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
KI
2010
Springer
15 years 1 months ago
Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception
We present a framework for incorporating perception-induced beliefs into the knowledge base of a rational agent. Normally, the agent accepts the propositional content of perception...
Haythem O. Ismail, Nasr Kasrin
ICCBR
2010
Springer
15 years 10 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
ICPR
2006
IEEE
16 years 7 months ago
Configuring Mixed Reality Environment
We present a practical framework for registering a Mixed Reality(MR) environment of an arbitrary number of agents. Each agent consist of a head mounted display (HMD), which consis...
Imran N. Junejo, Xiaochun Cao, Hassan Foroosh
IAT
2008
IEEE
16 years 1 months ago
Levels of Modalities for BDI Logic
The use of rational agents for modelling real world problems has both been heavily investigated and become well accepted, with BDI Logic being a widely used architecture to repres...
Jeff Blee, David Billington, Guido Governatori, Ab...