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» Abstraction in Predictive State Representations
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FLAIRS
2004
14 years 11 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
VOSS
2004
Springer
152views Mathematics» more  VOSS 2004»
15 years 3 months ago
Symbolic Representations and Analysis of Large Probabilistic Systems
Abstract. This paper describes symbolic techniques for the construction, representation and analysis of large, probabilistic systems. Symbolic approaches derive their efficiency by...
Andrew S. Miner, David Parker
TCIAIG
2010
14 years 4 months ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang
ATAL
2009
Springer
15 years 4 months ago
Abstraction in model checking multi-agent systems
ion in model checking multi-agent systems Mika Cohen Department of Computing Imperial College London London, UK Mads Dam Access Linnaeus Center Royal Institute of Technology Stockh...
Mika Cohen, Mads Dam, Alessio Lomuscio, Francesco ...
AAMAS
2007
Springer
15 years 4 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...