Felix Leibfried
Felix Leibfried
Secondmind (formerly PROWLER.io)
Email verificata su prowler.io - Home page
Titolo
Citata da
Citata da
Anno
Uncertainty in neural networks: Approximately Bayesian ensembling
T Pearce, F Leibfried, A Brintrup, M Zaki, A Neely
2020 Conference on Artificial Intelligence and Statistics (AISTATS), 2020
622020
Bounded rationality, abstraction, and hierarchical decision-making: An information-theoretic optimality principle
T Genewein, F Leibfried, J Grau-Moya, DA Braun
2015 Frontiers in Robotics and AI, 2015
542015
A deep learning approach for joint video frame and reward prediction in Atari games
F Leibfried, N Kushman, K Hofmann
2017 ICML Workshop on Principled Approaches to Deep Learning, 2016
362016
Balancing two-player stochastic games with soft Q-learning
J Grau-Moya, F Leibfried, H Bou-Ammar
2018 International Joint Conference on Artificial Intelligence (IJCAI), 2018
292018
Planning with information-processing constraints and model uncertainty in Markov decision processes
J Grau-Moya, F Leibfried, T Genewein, DA Braun
2016 European Conference on Machine Learning (ECML PKDD), 2016
202016
Soft Q-learning with mutual-information regularization
J Grau-Moya, F Leibfried, P Vrancx
2019 International Conference on Learning Representations (ICLR), 2018
192018
An information-theoretic optimality principle for deep reinforcement learning
F Leibfried, J Grau-Moya, H Bou-Ammar
2018 NeurIPS Workshop on Deep Reinforcement Learning, 2017
152017
A reward-maximizing spiking neuron as a bounded rational decision maker
F Leibfried, DA Braun
2015 Neural Computation, 2015
132015
Signaling equilibria in sensorimotor interactions
F Leibfried, J Grau-Moya, DA Braun
2015 Cognition, 2015
102015
An information-theoretic on-line update principle for perception-action coupling
Z Peng, T Genewein, F Leibfried, DA Braun
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
72017
Bounded rational decision-making in feedforward neural networks
F Leibfried, DA Braun
2016 Conference on Uncertainty in Artificial Intelligence (UAI), 2016
62016
A unified Bellman optimality principle combining reward maximization and empowerment
F Leibfried, S Pascual-Diaz, J Grau-Moya
2019 Conference on Neural Information Processing Systems (NeurIPS), 2019
42019
Mutual-information regularization in Markov decision processes and actor-critic learning
F Leibfried, J Grau-Moya
2019 Conference on Robot Learning (CoRL), 2019
32019
Model-based regularization for deep reinforcement learning with transcoder networks
F Leibfried, P Vrancx
2018 NeurIPS Workshop on Deep Reinforcement Learning, 2018
12018
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