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IJCAI
2001
13 years 9 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
SPIN
2004
Springer
14 years 26 days ago
Explicit State Model Checking with Hopper
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...
Michael Jones, Eric Mercer
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
11 years 10 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
ICCD
2001
IEEE
77views Hardware» more  ICCD 2001»
14 years 4 months ago
Minimal Subset Evaluation: Rapid Warm-Up for Simulated Hardware State
This paper introduces minimal subset evaluation (MSE) as a way to reduce time spent on large-structure warm-up during the fastforwarding portion of processor simulations. Warm up ...
John W. Haskins Jr., Kevin Skadron
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
13 years 6 months ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake