Jordi Grau-Moya
Jordi Grau-Moya
Research Scientist at Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
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
Signaling equilibria in sensorimotor interactions.
F Leibfried, J Grau-Moya, DA Braun
Cognition 141, 73-86, 2015
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
Soft Q-Learning with Mutual-Information Regularization
J Grau-Moya, F Leibfried, P Vrancx
International Conference on Learning Representations (ICLR), 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
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
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
Risk-Sensitivity in Bayesian Sensorimotor Integration
J Grau-Moya, PA Ortega, DA Braun
PLOS Computational Biology 8 (9), e1002698, 2012
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
F Leibfried, J Grau-Moya
Conference on Robot Learning (CoRL), 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
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments
J Grau-Moya, M Krüger, DA Braun
Entropy 20 (1), 1, 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
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
Bounded Rational Decision-Making in Changing Environments
J Grau-Moya, DA Braun
NIPS 2013 Workshop on Planning with Information Constraints, 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
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
J McLeod, H Stojic, V Adam, D Kim, J Grau-Moya, P Vrancx, F Leibfried
arXiv preprint arXiv:2103.14407, 2021
Causal Analysis of Agent Behavior for AI Safety
G Déletang, J Grau-Moya, M Martic, T Genewein, T McGrath, V Mikulik, ...
arXiv preprint arXiv:2103.03938, 2021
Adaptive information-theoretic bounded rational decision-making with parametric priors
J Grau-Moya, DA Braun
NeurIPS Workshop on Bounded Optimality and Rational Metareasoning, 2015
J Grau-moya, F Leibfried, H Bou Ammar
US Patent App. 16/759,241, 2020
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