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» A Planning Algorithm for Predictive State Representations
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ATAL
2006
Springer
13 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
JMLR
2010
112views more  JMLR 2010»
13 years 2 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
HYBRID
2004
Springer
14 years 26 days ago
Incremental Search Methods for Reachability Analysis of Continuous and Hybrid Systems
Abstract. In this paper we present algorithms and tools for fast and efficient reachability analysis, applicable to continuous and hybrid systems. Most of the work on reachability ...
Amit Bhatia, Emilio Frazzoli
AI
2011
Springer
13 years 2 months ago
Bounded approximate decentralised coordination via the max-sum algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...
ICGA
2007
85views Optimization» more  ICGA 2007»
13 years 7 months ago
Searching Solitaire in Real Time
This article presents a new real-time heuristic search method for planning problems with distinct stages. Our multistage nested rollout algorithm allows the user to apply separate...
Ronald Bjarnason, Prasad Tadepalli, Alan Fern