• Open-ended learning: a conceptual framework based on representational redescription 

      Doncieux, Stephane; Filliat, David; Díaz-Rodríguez, Natalia; Hospedales, Timothy; Duro, Richard J.; Coninx, Alexandre; Roijers, Diederik M.; Benoît, Girard; Perrin, Nicolas; Sigaud, Oliver (Frontiers Media, 2018)
      [Abstract]: Reinforcement learning (RL) aims at building a policy that maximizes a task-related reward within a given domain. When the domain is known, i.e., when its states, actions and reward are defined, Markov Decision ...