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CSDA
2007
116views more  CSDA 2007»
13 years 7 months ago
Exploring the state sequence space for hidden Markov and semi-Markov chains
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
Yann Guédon
CPHYSICS
2008
106views more  CPHYSICS 2008»
13 years 7 months ago
A space-time-ensemble parallel nudged elastic band algorithm for molecular kinetics simulation
A scalable parallel algorithm has been designed to study long-time dynamics of many-atom systems based on the nudged elastic band method, which performs mutually constrained molec...
Aiichiro Nakano
WOLLIC
2009
Springer
14 years 1 months ago
On-the-Fly Macros
Abstract. We present a domain-independent algorithm for planning that computes macros in a novel way. Our algorithm computes macros “on-the-fly” for a given set of states and ...
Hubie Chen, Omer Giménez
ESANN
2008
13 years 8 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
ATAL
2010
Springer
13 years 8 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon