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JCP
2008
139views more  JCP 2008»
13 years 10 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang
ECAI
2010
Springer
13 years 7 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
EMSOFT
2011
Springer
12 years 9 months ago
Synthesis of optimal switching logic for hybrid systems
Given a multi-modal dynamical system, optimal switching logic synthesis involves generating conditions for switching between the system modes such that the resulting hybrid system...
Susmit Jha, Sanjit A. Seshia, Ashish Tiwari
DAC
2003
ACM
14 years 11 months ago
Automatic trace analysis for logic of constraints
Verification of system designs continues to be a major challenge today. Simulation remains the primary tool for making sure that implementations perform as they should. We present...
Xi Chen, Harry Hsieh, Felice Balarin, Yosinori Wat...
LOPSTR
2009
Springer
14 years 4 months ago
Coinductive Logic Programming with Negation
Answer Set Programming (ASP) is a powerful paradigm of logic programming for non-monotonic reasoning. However, the restriction of “grounded range-restricted function-free normal ...
Richard Min, Gopal Gupta