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ATAL
2007
Springer
16 years 13 days 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
2008
Springer
15 years 8 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
AAAI
2006
15 years 7 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
AAAI
1990
15 years 7 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
CEEMAS
2003
Springer
15 years 11 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diï¬...
Karl Tuyls, Katja Verbeeck, Sam Maes