| Mind the gap: Challenges of deep learning approaches to theory of mind J Aru, A Labash, O Corcoll, R Vicente Artificial Intelligence Review 56 (9), 9141-9156, 2023 | 21 | 2023 |
| Disentangling Controlled Effects for Hierarchical Reinforcement Learning O Corcoll, R Vicente Conference on Causal Learning and Reasoning, 178-200, 2022 | 9* | 2022 |
| Quantifying reinforcement-learning agent’s autonomy, reliance on memory and internalisation of the environment A Ingel, A Makkeh, O Corcoll, R Vicente Entropy 24 (3), 401, 2022 | 2 | 2022 |
| Did I do that? Blame as a means to identify controlled effects in reinforcement learning O Corcoll, R Vicente ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021 | 1 | 2021 |
| Attention manipulation in reinforcement learning agents O Corcoll, A Makkeh, J Aru, D Oliver Theis, R Vicente Zafra Conference on Cognitive Computational Neuroscience, 2019 | 1 | 2019 |
| Semantic Image Cropping O Corcoll | 1 | 2018 |
| Explanatory World Models via Look Ahead Attention for Credit Assignment O Corcoll, R Vicente UAI 2022 Workshop on Causal Representation Learning, 2022 | | 2022 |
| Design Tools for Reinforced 3D DNA Nanostructures O Corcoll Universitat Politècnica de Catalunya, 2014 | | 2014 |
Raul VicenteProfessor of Data Science, Institute of Computer Science, University of TartuVerified email at ut.ee
