International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 139. Generalization and Transfer in Robot Control

Citations in the corpus

• Active learning of inverse models with intrinsically motivated goal exploration in robots (2013, positive): “…often encoded using Central Pattern Generators (CPG) [75–79] or as more traditional innate low-level control loops which are part of the innate structure allowing a robot to bootstrap the learning of new skills, as for example in [16,80] where it is combined with intrinsically motivated learning.”
• Learning Generalizable Control Programs (2011, methodology): “This generalization is accomplished by factoring existing control programs into declarative and procedural components [9].”
• Intrinsically Motivated Learning in Natural and Artificial Systems (2013, background): “Other researchers in the nascent field of developmental robotics (Blank and Meeden 2006; Gold and Scassellati 2006; Hart 2009; Hart et al. 2008; Kuipers et al. 2006; Olsson et al. 2006; Oudeyer and Kaplan 2006; Provost et al. 2006; Schlesinger 2006; Stronger and Stone 2006) and intrinsic reward also”