| Language modeling is compression G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... arXiv preprint arXiv:2309.10668, 2023 | 291 | 2023 |
| Neural networks and the chomsky hierarchy G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ... arXiv preprint arXiv:2207.02098, 2022 | 242 | 2022 |
| 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 | 153 | 2015 |
| Randomized positional encodings boost length generalization of transformers A Ruoss, G Delétang, T Genewein, J Grau-Moya, R Csordás, M Bennani, ... arXiv preprint arXiv:2305.16843, 2023 | 141 | 2023 |
| Shaking the foundations: delusions in sequence models for interaction and control PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ... arXiv preprint arXiv:2110.10819, 2021 | 80 | 2021 |
| Soft Q-Learning with Mutual-Information Regularization J Grau-Moya, F Leibfried, P Vrancx International Conference on Learning Representations (ICLR), 2019 | 70 | 2019 |
| 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 | 64 | 2018 |
| 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 | 54 | 2019 |
| Signaling equilibria in sensorimotor interactions F Leibfried, J Grau-Moya, DA Braun Cognition 141, 73-86, 2015 | 52 | 2015 |
| Grandmaster-level chess without search A Ruoss, G Delétang, S Medapati, J Grau-Moya, LK Wenliang, E Catt, ... CoRR, 2024 | 43 | 2024 |
| 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 | 42 | 2016 |
| Amortized planning with large-scale transformers: A case study on chess A Ruoss, G Delétang, S Medapati, J Grau-Moya, LK Wenliang, E Catt, ... Advances in Neural Information Processing Systems 37, 65765-65790, 2024 | 40 | 2024 |
| Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning F Leibfried, J Grau-Moya Conference on Robot Learning (CoRL), 2019 | 32 | 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 | 32 | 2017 |
| Learning Universal Predictors J Grau-Moya, T Genewein, M Hutter, L Orseau, G Delétang, E Catt, ... Proceedings of the 41st International Conference on Machine Learning, PMLR …, 2024 | 27 | 2024 |
| 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 | 24 | 2013 |
| 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 | 22 | 2019 |
| Language modeling is compression, 2024 G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... URL https://arxiv. org/abs/2309.10668, 0 | 22 | |
| Llms are greedy agents: Effects of rl fine-tuning on decision-making abilities T Schmied, J Bornschein, J Grau-Moya, M Wulfmeier, R Pascanu arXiv preprint arXiv:2504.16078, 2025 | 20 | 2025 |
| Memory-based meta-learning on non-stationary distributions T Genewein, G Delétang, A Ruoss, LK Wenliang, E Catt, V Dutordoir, ... International conference on machine learning, 11173-11195, 2023 | 20 | 2023 |
Tim GeneweinDeepMindVerified email at google.com
