 Senior Machine Learning Researcher PROWLER.io Cambridge, UK Contact me at felix.leibfried@gmail.com and download my CV here. About I am a senior machine learning researcher at PROWLER.io where I work on sample-efficient autonomous decision-making in environments approaching real-world complexity. Prior to that, I wrote my PhD thesis at the Max Planck Institutes for Intelligent Systems and Biological Cybernetics in Tuebingen, Germany. My educational background is computer science (artificial intelligence) and biology (neuroscience). Publications 2018 Leibfried F, Tutunov R, Vrancx P and Bou-Ammar H Computing Research Repository (CoRR) 2018 Leibfried F, Tutunov R, Grau-Moya J and Bou-Ammar H Computing Research Repository (CoRR)2018 Grau-Moya J, Leibfried F and Bou-Ammar H Balancing two-player stochastic games with soft Q-learning Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2017 Leibfried F, Kushman N and Hofmann K Workshop on Principled Approaches to Deep Learning at the International Conference on Machine Learning (ICML) 2017 Peng Z, Genewein T, Leibfried F and Braun DA Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016 Grau-Moya J, Leibfried F, Genewein T and Braun DA Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2016 Leibfried F and Braun DA Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 2015 Genewein T, Leibfried F, Grau-Moya J and Braun DA Bounded rationality, abstraction, and hierarchical decision-making: an information-theoretic optimality principle Frontiers in Robotics and AI 2015 Leibfried F and Braun DA A reward-maximizing spiking neuron as a bounded rational decision maker Neural Computation 2015 Leibfried F, Grau-Moya J and Braun DA Signaling equilibria in sensorimotor interactions Cognition |