Sensorimotor Learning and Decision-Making

Journal Article (1)

Journal Article
Genewein, T.; Braun, D.: Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics 110 (2), pp. 135 - 150 (2016)

Conference Paper (2)

Conference Paper
Grau-Moya, J.; Leibfried, F.; Genewein, T.; Braun, D.: Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. In: Machine Learning and Knowledge Discovery in Databases, pp. 475 - 491 (Eds. Frasconi, P.; Landwehr, N.; Manco, G.; Vreeken, J.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2016), Riva del Garda, Italy. Springer, Cham, Switzerland (2016)
Conference Paper
Leibfried, F.; Braun, D.: Bounded Rational Decision-Making in Feedforward Neural Networks. In: Uncertainty in Artificial Intelligence, pp. 407 - 416 (Eds. Ihler , A.; Janzing, D.). 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York, NY, USA. AUAI Press, Corvallis, OR, USA (2016)

Talk (2)

Braun, D.: Information-Theoretic Bounded Rationality for Learning and Decision-Making. NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, Barcelona, Spain (2016)
Genewein, T.: Information-theoretic bounded rationality in perception-action systems. ICRA 2016 Workshop on Task-Driven Perceptual Representations: Sensing, Planning and Control under Resource Constraints, Stockholm, Sweden (2016)
Go to Editor View