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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
CN
1999
100views more  CN 1999»
13 years 7 months ago
Testing protocols modeled as FSMs with timing parameters
An optimization method is introduced for generating minimum-length test sequences taking into account timing constraints for FSM models of communication protocols. Due to active t...
M. Ümit Uyar, Mariusz A. Fecko, Adarshpal S. ...
JELIA
2010
Springer
13 years 6 months ago
Stable Belief Sets Revisited
Stable belief sets were introduced by R. Stalnaker in the early ’80s, as a formal representation of the epistemic state for an ideal introspective agent. This notion motivated M...
Costas D. Koutras, Yorgos Zikos
ECAI
1998
Springer
13 years 11 months ago
Description Logics with Concrete Domains and Aggregation
Abstract. We extend different Description Logics by concrete domains (such as integers and reals) and by aggregation functions over these domains (such as min;max;count;sum), which...
Franz Baader, Ulrike Sattler
MOVEP
2000
136views Hardware» more  MOVEP 2000»
13 years 11 months ago
UPPAAL - Now, Next, and Future
Uppaal is a tool for modeling, simulation and verification of real-time systems, developed jointly by BRICS at Aalborg University and the Department of Computer Systems at Uppsala ...
Tobias Amnell, Gerd Behrmann, Johan Bengtsson, Ped...