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ECML
2004
Springer
14 years 3 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
ATVA
2007
Springer
118views Hardware» more  ATVA 2007»
14 years 4 months ago
Pruning State Spaces with Extended Beam Search
This paper focuses on using beam search, a heuristic search algorithm, for pruning state spaces while generating. The original beam search is adapted to the state space generation ...
Muhammad Torabi Dashti, Anton Wijs
SFP
2003
13 years 11 months ago
FSM-Hume is finite state
Abstract Hume is a domain-specific programming language targeting resourcebounded computations. It is based on generalised concurrent bounded automata, controlled by transitions c...
Greg Michaelson, Kevin Hammond, Jocelyn Sér...
ISSRE
2005
IEEE
14 years 3 months ago
Safety Analysis of Software Product Lines Using State-Based Modeling
The difficulty of managing variations and their potential interactions across an entire product line currently hinders safety analysis in safety-critical, software product lines. ...
Jing Liu, Josh Dehlinger, Robyn R. Lutz
ICPR
2010
IEEE
14 years 1 months ago
Image Parsing with a Three-State Series Neural Network Classifier
We propose a three-state series neural network for effective propagation of context and uncertainty information for image parsing. The activation functions used in the proposed mod...
Seyed Mojtaba Seyedhosseini Tarzjani, Antonio Paiv...