Visualitza per autor "Jonsson, Anders"

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  • Lotinac, Damir; Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders (Association for the Advancement of Artificial Intelligence (AAAI), 2016)
    In many domains generalized plans can only/nbe computed if certain high-level state features,/ni.e. features that capture key concepts to accurately/ndistinguish between states and make good decisions,/nare available. In ...
  • Jonsson, Anders; Lotinac, Damir (IOS Press, 2016)
    Hierarchical Task Networks (HTNs) are a common model for encoding knowledge about planning domains in the form of task decompositions. We present a novel algorithm that uses invariant analysis to construct an HTN from the ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders (2017)
    This paper presents a novel approach for generating Context-Free Grammars (CFGs) from small sets of input strings (a single input string in some cases). Our approach is to compile this task into a classical planning ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders (Association for the Advancement of Artificial Intelligence (AAAI), 2016)
    Finite State Controllers (FSCs) are an effective way/nto represent sequential plans compactly. By imposing/nappropriate conditions on transitions, FSCs/ncan also represent generalized plans that solve a/nrange of planning ...
  • Wilhelmi Roca, Francesc; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Reinforcement Learning is gaining attention by the wireless networking community due to its potential to learn good-performing configurations only from the observed results. In this work we propose a stateless variation ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders (2017)
    Well-structured collaborative learning groups scripted based on Collaborative Learning Flow Patterns (CLFPs) often result in successful collaborative learning outcomes. Formulation of such learner groups based on instructor ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders (2017)
    Learner group formation manually based on multiple criteria often fails due to its complexity and time limitations of practitioners. This paper presents a novel binary integer programming approach which models learner ...
  • Lotinac, Damir (Universitat Pompeu Fabra, 2017-12-14)
    Classical planning is the problem of finding a sequence of actions, from a given initial state to some goal state. While, in generalized planning, a plan is a solution to a set of planning problems, which belong to the ...
  • Furelos Blanco, Daniel; Jonsson, Anders (Association for the Advancement of Artificial Intelligence (AAAI) - Congrés ICAPS17, 2018)
    In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concurrent multiagent planning to classical ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders (2017)
    Learning via collaboration has gained much success over past few decades given their learning benefits. Group composition has been seen as a relevant design element that contributes to the potential effectiveness of ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders (2017)
    In this paper we introduce a novel approach for unsupervised classification of planning instances based on the recent formalism of planning programs. Our approach is inspired by structured prediction in machine learning, ...