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AAAI
2010
15 years 8 months ago
A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form of a propositional formula or of the form of a total pre-order on a set of ...
Jianbing Ma, Weiru Liu, Salem Benferhat
NIPS
2008
15 years 8 months ago
Learning with Consistency between Inductive Functions and Kernels
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
Haixuan Yang, Irwin King, Michael R. Lyu
FLAIRS
2004
15 years 8 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
ICMAS
2000
15 years 8 months ago
Reasoning About Others: Representing and Processing Infinite Belief Hierarchies
In this paper we focus on the problem of how infinite belief hierarchies can be represented and reasoned with in a computationally tractable way. When modeling nested beliefs one ...
Sviatoslav Brainov, Tuomas Sandholm
IJCAI
1997
15 years 8 months ago
Compiling Reasoning with and about Preferences into Default Logic
We address the problem of introducing preferences into default logic. Two approaches are given, one a generalisation of the other. In the first approach, an ordered default theory...
James P. Delgrande, Torsten Schaub