| Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning B Beyret, A Shafti, AA Faisal arXiv preprint arXiv:1904.06703, 2019 | 87* | 2019 |
| The animal-ai olympics M Crosby, B Beyret, M Halina Nature Machine Intelligence 1 (5), 257-257, 2019 | 57 | 2019 |
| Artificial intelligence and the common sense of animals M Shanahan, M Crosby, B Beyret, L Cheke Trends in Cognitive Sciences 24 (11), 862-872, 2020 | 48 | 2020 |
| The animal-AI testbed and competition M Crosby, B Beyret, M Shanahan, J Hernández-Orallo, L Cheke, M Halina Neurips 2019 competition and demonstration track, 164-176, 2020 | 47 | 2020 |
| The animal-ai environment: Training and testing animal-like artificial cognition B Beyret, J Hernández-Orallo, L Cheke, M Halina, M Shanahan, M Crosby arXiv preprint arXiv:1909.07483, 2019 | 34 | 2019 |
| Direct human-AI comparison in the animal-AI environment K Voudouris, M Crosby, B Beyret, J Hernández-Orallo, M Shanahan, ... Frontiers in Psychology 13, 711821, 2022 | 10 | 2022 |
| " Artificial intelligence and the common sense of animals": Correction. M Shanahan, M Crosby, B Beyret, L Cheke Elsevier Science, 2021 | | 2021 |
