Felix Leibfried

24 papers A* 2A 3Misc 1Journal 15Unranked 2

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