 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 autonomous decision-making in high-dimensional environments (basic and applied research). Specifically, my research focuses on reinforcement learning and lately on probabilistic modelling. 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 both computer science with focus on artificial intelligence (BSc+MSc) and biology with focus on neuroscience (BSc+MSc). Publications → Google Scholar 2019 Pearce T, Leibfried F, Brintrup A, Zaki M and Neely A arXiv 2019 Leibfried F, Pascual-Diaz S and Grau-Moya J Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) 2019 Leibfried F and Grau-Moya J Proceedings of the Conference on Robot Learning (CoRL) 2019 Grau-Moya J, Leibfried F and Vrancx P Proceedings of the International Conference on Learning Representations (ICLR) 2018 Leibfried F and Vrancx P Workshop on Deep Reinforcement Learning at the Conference on Neural Information Processing Systems (NeurIPS Workshop) 2018 Leibfried F, Grau-Moya J and Bou-Ammar H Workshop on Deep Reinforcement Learning at the Conference on Neural Information Processing Systems (NeurIPS Workshop) 2018 Grau-Moya J, Leibfried F and Bou-Ammar H Balancing two-player stochastic games with soft Q-learning [pdf] 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 Workshop) 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 |