Felix Leibfried

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 21

Top Venues

CoRR

AISTATS

ECML/PKDD (2)

IROS

University of Tübingen, Germany (PHD)

Education History

University of Tübingen, Germany

PHD

Publications

Felix Leibfried
Variational Inference for Model-Free and Model-Based Reinforcement Learning. CoRR (2022)
John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow. CoRR (2021)
Vincent Dutordoir, Hugh Salimbeni, Eric Hambro, John McLeod, Felix Leibfried, Artem Artemev, Mark van der Wilk, James Hensman, Marc Peter Deisenroth, S. T. John
GPflux: A Library for Deep Gaussian Processes. CoRR (2021)
Tim Pearce, Felix Leibfried, Alexandra Brintrup
Uncertainty in Neural Networks: Approximately Bayesian Ensembling. AISTATS (2020)
Felix Leibfried, Vincent Dutordoir, S. T. John, Nicolas Durrande
A Tutorial on Sparse Gaussian Processes and Variational Inference. CoRR (2020)
Jordi Grau-Moya, Felix Leibfried, Peter Vrancx
Soft Q-Learning with Mutual-Information Regularization. ICLR (Poster) (2019)
Felix Leibfried, Jordi Grau-Moya
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning. CoRL (2019)
Felix Leibfried, Jordi Grau-Moya
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning. CoRR (2019)
Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment. CoRR (2019)
Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment. NeurIPS (2019)
Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar
Balancing Two-Player Stochastic Games with Soft Q-Learning. IJCAI (2018)
Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
An information-theoretic on-line update principle for perception-action coupling. CoRR (2018)
Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar
Balancing Two-Player Stochastic Games with Soft Q-Learning. CoRR (2018)
Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar
Model-Based Stabilisation of Deep Reinforcement Learning. CoRR (2018)
Felix Leibfried, Jordi Grau-Moya, Haitham Bou-Ammar
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning. CoRR (2017)
Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun
An information-theoretic on-line update principle for perception-action coupling. IROS (2017)
Felix Leibfried, Nate Kushman, Katja Hofmann
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games. CoRR (2016)
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. CoRR (2016)
Felix Leibfried, Daniel Alexander Braun
Bounded Rational Decision-Making in Feedforward Neural Networks. CoRR (2016)
Jordi Grau-Moya, Felix Leibfried, Tim Genewein, Daniel A. Braun
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. ECML/PKDD (2) (2016)
Felix Leibfried, Daniel A. Braun
Bounded Rational Decision-Making in Feedforward Neural Networks. UAI (2016)
Felix Leibfried, Daniel A. Braun
A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Comput. 27 (8) (2015)
Tim Genewein, Felix Leibfried, Jordi Grau-Moya, Daniel Alexander Braun
Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. Frontiers Robotics AI 2 (2015)

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Publication Activity (10 Years)

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Felix Leibfried