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ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ATAL
2007
Springer
14 years 2 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
ATAL
2007
Springer
14 years 2 months ago
Goals in the context of BDI plan failure and planning
We develop a Belief-Desire-Intention (BDI) style agent-oriented programming language with special emphasis on the semantics of goals in the presence of the typical BDI failure han...
Sebastian Sardiña, Lin Padgham
CCS
2007
ACM
14 years 2 months ago
SecureBus: towards application-transparent trusted computing with mandatory access control
The increasing number of software-based attacks has attracted substantial efforts to prevent applications from malicious interference. For example, Trusted Computing (TC) technolo...
Xinwen Zhang, Michael J. Covington, Songqing Chen,...
EEMMAS
2007
Springer
14 years 1 months ago
Engineering Systems Which Generate Emergent Functionalities
Complexity of near future and even nowadays applications is exponentially increasing. In order to tackle the design of such complex systems, being able to engineer self-organising ...
Marie Pierre Gleizes, Valérie Camps, Jean-P...
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