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ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
179
Voted
CAV
2007
Springer
108views Hardware» more  CAV 2007»
16 years 1 months ago
Systematic Acceleration in Regular Model Checking
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Bengt Jonsson, Mayank Saksena
191
Voted
LATIN
2004
Springer
16 years 6 days ago
Approximating the Expressive Power of Logics in Finite Models
Abstract. We present a probability logic (essentially a first order language extended with quantifiers that count the fraction of elements in a model that satisfy a first order ...
Argimiro Arratia, Carlos E. Ortiz
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 7 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
180
Voted
ICCAD
2002
IEEE
141views Hardware» more  ICCAD 2002»
16 years 3 months ago
A hierarchical modeling framework for on-chip communication architectures
— The communication sub-system of complex IC systems is increasingly critical for achieving system performance. Given this, it is important that the on-chip communication archite...
Xinping Zhu, Sharad Malik