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Top-Down and Bottom-Up Interactions between Low-Level Reactive Control and Symbolic Rule Learning in Embodied Agents. 30th Annual Conference on Neural Information Processing Systems (NIPS 2016).. Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches. 2016.
Learning Relevant Features through a Two-Phase Model of Conditioning.. IBM Journal of Research and Development. Special issue on Computational Neuroscience. (in press).. 2017.
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Transactions on Cognitive and Developmental Systems (submitted).. 2017.