• Learning probabilistic action models from interpretation transitions 

    Martínez Martínez, David; Ribeiro, Tony; Inoue, Katsumi; Alenyà Ribas, Guillem; Torras, Carme (2015)
    Text en actes de congrés
    Accés obert
    Probabilistic planners are very flexible tools that provide good solutions for difficult tasks. However, they rely on a model of the domain and actions, which they have difficulties to learn for complex tasks. We propose ...
  • Learning relational dynamics of stochastic domains for planning 

    Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme; Ribeiro, Tony; Inoue, Katsumi (2016)
    Text en actes de congrés
    Accés obert
    Probabilistic planners are very flexible tools that can provide good solutions for difficult tasks. However, they rely on a model of the domain, which may be costly to either hand code or automatically learn for complex ...