Publications

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Neu, G., György, A., and Szepesvári, \textC., The adversarial stochastic shortest path problem with unknown transition probabilities, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, N. Lawrence and Girolami, M., 2012, pp. 805–813.
Neu, G., György, A., and Szepesvári, \relaxCs., The Online Loop-free Stochastic Shortest-Path Problem, {Proceedings of the 23rd Annual Conference on Learning Theory (COLT)}, 2010, pp. 231–243.
Neu, G., and Valko, M., Online combinatorial optimization with stochastic decision sets and adversarial losses, Advances in Neural Information Processing Systems 27 (NIPS), 2014, pp. 2780-2788.
Neu, G., György, A., Szepesvári, \textC., and Antos, A., Online Markov Decision Processes under Bandit Feedback, IEEE Transactions on Automatic Control, vol. 59, 2013, pp. 676–691.
Neu, G., and Szepesvári, \textC., Training parsers by inverse reinforcement learning, Machine Learning Journal, vol. 77, 2009, pp. 303–337.
Neu, G., First-order regret bounds for combinatorial semi-bandits, {Proceedings of the 27th Annual Conference on Learning Theory (COLT)}, 2015, pp. 1360-1375.
Nivel, E., Thórisson, K. R., Steunebrink, B. R., Dindo, H., Pezzulo, G., Rodrıguez, M., Hernández, C., Ognibene, D., Schmidhuber, J., Sanz, R., and , AUTONOMOUS ACQUISITION OF NATURAL LANGUAGE, IADIS International Conference on Intelligent Systems & Agents, 2014, pp. 58–66.
Nivel, E., Thórisson, K. R., Steunebrink, B. R., Dindo, H., Pezzulo, G., Rodrıguez, M., Hernández, C., Ognibene, D., Schmidhuber, J., Sanz, R., and , Bounded Seed-AGI, AGI 2014: Quebec City, QC, Canada, Springer Berlin/Heidelberg, 2014, pp. 85–96.
Nivel, E., Thórisson, K. R., Steunebrink, B. R., Dindo, H., Pezzulo, G., Rodriguez, M., Hernandez, C., Ognibene, D., Schmidhuber, J., Sanz, R., and , Bounded Recursive Self-Improvement, arXiv preprint arXiv:1312.6764, 2013.
Nivel, E., risson, K. R. Þó, Thórisson, K. R., Dindo, H., Pezzulo, G., Rodriguez, M., Corbato, C., Steunebrink, B., Ognibene, D., Chella, A., and , Autocatalytic endogenous reflective architecture, 2013.
Nunes, C., Jonsson, A., Camara, O., and Bijnens, B., A Decision Tree Approach for Imprecise Data, Proceedings of the 11th Women in Machine Learning Workshop (WiML'16), 2016.
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Ognibene, D., and Demiris, Y., Towards active event recognition, The 23rd International Joint Conference of Artificial Intelligence (IJCAI13), 2013.
Ognibene, D., Wu, Y., Lee, K., and Demiris, Y., Hierarchies for embodied action perception, Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer, 2013, p. Chapter–5.
Ognibene, D., Balkenius, C., and Baldassarre, G., A reinforcement-learning model of top-down attention based on a potential-action map, The Challenge of Anticipation, 2008, pp. 161–184.
Ognibene, D., Pezzulo, G., and Baldassare, G., Learning to look in different environments: an active-vision model which learns and readapts visual routines, From Animals to Animats 11, 2010, pp. 199–210.
Ognibene, D., and Demiris, Y., Attentional shifts during action perception, Perception, vol. 41, 2012, pp. 1267–1274.
Ognibene, D., Volpi, N., and Pezzulo, G., Learning to grasp information with your own hands, Towards Autonomous Robotic Systems, 2011, pp. 398–399.
Ognibene, D., Balkenius, C., and Baldassarre, G., Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots, From Animals to Animats 10, The tenth International Conference on the SIMULATION OF ADAPTIVE BEHAVIOR (SAB'08), 2008, pp. 220–229.
Ognibene, D., Pezzulo, G., and Baldassare, G., How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?, Epirob 2009, 2009.
Ognibene, D., Chinellato, E., Sarabia, M., and Demiris, Y., Contextual action recognition and target localization with an active allocation of attention on a humanoid robot, Bioinspiration & Biomimetics, vol. 8, 2013, p. 035002.
Ognibene, D., Rega, A., and Baldassarre, G., A model of reaching that integrates reinforcement learning and population encoding of postures, From Animals to Animats 9: Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB2006), Springer Berlin/Heidelberg, 2006, pp. 381–393.
Ognibene, D., and Baldassarre, G., Ecological Active Vision: Four Bio-Inspired Principles to Integrate Bottom-Up and Adaptive Top-Down Attention Tested With a Simple Camera-Arm Robot, Autonomous Mental Development, IEEE Transactions on, 2014.
Ognibene, D., Mannella, F., Pezzulo, G., and Baldassarre, G., Integrating reinforcement-learning, accumulator models, and motor-primitives to study action selection and reaching in monkeys, Proceedings of the 7th International Conference on Cognitive Modelling-ICCM06, 2006, pp. 214–219.
Ognibene, D., Chinellato, E., Sarabia, M., and Demiris, Y., Towards Contextual Action Recognition and Target Localization with Active Allocation of Attention, First International Conference, Living Machines 2012, Barcelona, Spain, July 9-12, 2012. Proceedings, Springer Berlin/Heidelberg, 2012, pp. 192–203.
Ognibene, D., Pezzulo, G., and Dindo, H., Resources allocation in a Bayesian, schema-based model of distributed action control., NIPS-Workshop on Probabilistic Approaches for Robotics and Control. (Poster) Vancouver, B.C., Canada, December 11, 2009, 2009.

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