Felix Leibfried



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 high-dimensional environments (both basic and applied research). 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 and Vrancx P
Workshop on Deep Reinforcement Learning at the Conference on Neural Information Processing Systems (NIPS)

2018 Leibfried F, Grau-Moya J and Bou-Ammar H
Workshop on Deep Reinforcement Learning at the Conference on Neural Information Processing Systems (NIPS)

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)

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