| Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle T Genewein, F Leibfried, J Grau-Moya, DAB Braun Frontiers in Robotics and AI 2, 27, 2015 | 63 | 2015 |
| Signaling equilibria in sensorimotor interactions. F Leibfried, J Grau-Moya, DA Braun Cognition 141, 73-86, 2015 | 40 | 2015 |
| Balancing Two-Player Stochastic Games with Soft Q-Learning J Grau-Moya, F Leibfried, H Bou-Ammar Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 37 | 2018 |
| Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes J Grau-Moya, F Leibfried, T Genewein, DA Braun Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 29 | 2016 |
| Soft Q-Learning with Mutual-Information Regularization J Grau-Moya, F Leibfried, P Vrancx International Conference on Learning Representations (ICLR), 2019 | 26 | 2019 |
| An information-theoretic optimality principle for deep reinforcement learning F Leibfried, J Grau-Moya, H Bou-Ammar NeurIPS Workshop on Deep Reinforcement Learning, 2017 | 20 | 2017 |
| Risk-Sensitivity in Bayesian Sensorimotor Integration J Grau-Moya, PA Ortega, DA Braun PLOS Computational Biology 8 (9), e1002698, 2012 | 18 | 2012 |
| The effect of model uncertainty on cooperation in sensorimotor interactions J Grau-Moya, E Hez, G Pezzulo, DA Braun Journal of The Royal Society Interface 10 (87), 20130554, 2013 | 17 | 2013 |
| A unified bellman optimality principle combining reward maximization and empowerment F Leibfried, S Pascual-Diaz, J Grau-Moya Advances in Neural Information Processing Systems, 7869-7880, 2019 | 13 | 2019 |
| Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning F Leibfried, J Grau-Moya Conference on Robot Learning (CoRL), 2019 | 9 | 2019 |
| Disentangled Skill Embeddings for Reinforcement Learning JC Petangoda, S Pascual-Diaz, V Adam, P Vrancx, J Grau-Moya NeurIPS Workshop on Learning Transferable Skills, 2019 | 7 | 2019 |
| Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments J Grau-Moya, M Krüger, DA Braun Entropy 20 (1), 1, 2018 | 6 | 2018 |
| Noise-induced up/down dynamics in scale-free neuronal networks J Grau-Moya, AJ Pons, J Garcia-Ojalvo International Journal of Bifurcation and Chaos 22 (07), 1250175, 2012 | 5 | 2012 |
| Decision-making under ambiguity is modulated by visual framing, but not by motor vs. non-motor context. experiments and an information-theoretic ambiguity model J Grau-Moya, PA Ortega, DA Braun PloS one 11 (4), e0153179, 2016 | 4 | 2016 |
| Bounded Rational Decision-Making in Changing Environments J Grau-Moya, DA Braun NIPS 2013 Workshop on Planning with Information Constraints, 2013 | 4 | 2013 |
| A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function P Ortega, J Grau-Moya, T Genewein, D Balduzzi, D Braun Advances in Neural Information Processing Systems, 3005-3013, 2012 | 2 | 2012 |
| Adaptive information-theoretic bounded rational decision-making with parametric priors J Grau-Moya, DA Braun NeurIPS Workshop on Bounded Optimality and Rational Metareasoning, 2015 | 1 | 2015 |
| Integration of the information in complex neural networks with noise J Grau Moya Universitat Politècnica de Catalunya, 2011 | 1 | 2011 |
| MACHINE LEARNING SYSTEM J Grau-moya, F Leibfried, H Bou Ammar US Patent App. 16/759,241, 2020 | | 2020 |
| Decision-Making under Bounded Rationality and Model Uncertainty: an Information-Theoretic Approach JG Moya Eberhard Karls Universität Tübingen, 2016 | | 2016 |
Daniel Alexander BraunProfessor, Ulm UniversityVahvistettu sähköpostiosoite verkkotunnuksessa uni-ulm.de
