A local temporal difference code for distributional reinforcement learning P Tano, P Dayan, A Pouget Advances in neural information processing systems 33, 13662-13673, 2020 | 33 | 2020 |
Multi-timescale reinforcement learning in the brain P Masset, P Tano, HGR Kim, AN Malik, A Pouget, N Uchida bioRxiv, 2023 | 10 | 2023 |
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand V Caggiano, G Durandau, H Wang, A Chiappa, A Mathis, P Tano, N Patel, ... NeurIPS 2022 Competition Track, 233-250, 2023 | 8 | 2023 |
Towards a more flexible language of thought: Bayesian grammar updates after each concept exposure P Tano, S Romano, M Sigman, A Salles, S Figueira Physical Review E 101 (4), 042128, 2020 | 6 | 2020 |
Acquiring musculoskeletal skills with curriculum-based reinforcement learning AS Chiappa, P Tano, N Patel, A Ingster, A Pouget, A Mathis bioRxiv, 2024.01. 24.577123, 2024 | 4 | 2024 |
Learning is Compiling: Experience Shapes Concept Learning by Combining Primitives in a Language of Thought P Tano, S Romano, M Sigman, A Salles, S Figueira CoRR, 2018 | 1 | 2018 |
Variability in prior expectations explains biases in confidence reports P Tano, F Meyniel, M Sigman, A Salles bioRxiv, 127399, 2017 | 1 | 2017 |
Automatic Task Decomposition using Compositional Reinforcement Learning P Tano, P Dayan, A Pouget Computational and Systems Neuroscience Meeting (COSYNE 2022), 169, 2022 | | 2022 |
A logical framework to study concept-learning biases in the presence of multiple explanations S Abriola, P Tano, S Romano, S Figueira Behavior Research Methods 54 (1), 233-251, 2022 | | 2022 |
Difficulty of categorization tasks in propositional universes with alternative explanations and feature stickiness. SA Abriola, S Figueira, S Romano, P Tano OSF, 2019 | | 2019 |
Towards a more flexible language of thought: Bayesian grammar updates after each concept exposure P Tano, S Romano, M Sigman, A Salles, S Figueira Physical Review E 101 (4), 042128, 2019 | | 2019 |