| Novelty Generation Framework for AI Agents in Angry Birds Style Physics Games C Gamage, V Pinto, C Xue, M Stephenson, P Zhang, J Renz IEEE Conference on Games, 2021 | 17 | 2021 |
| Science Birds Novelty: an Open-world Learning Test-bed for Physics Domains C Xue, V Pinto, P Zhang, C Gamage, E Nikonova, J Renz AAAI 2022, Designing Artificial Intelligence for Open Worlds, 2022 | 12 | 2022 |
| Phy-Q as a measure for physical reasoning intelligence C Xue, V Pinto, C Gamage, E Nikonova, P Zhang, J Renz Nature Machine Intelligence 5 (1), 83-93, 2023 | 11* | 2023 |
| Measuring the Performance of Open-World AI Systems V Pinto, J Renz, C Xue, P Zhang, K Doctor, D Aha AAAI 2022, Designing Artificial Intelligence for Open Worlds, 2022 | 8 | 2022 |
| Deceptive level generation for angry birds C Gamage, V Pinto, J Renz, M Stephenson 2021 IEEE Conference on Games (CoG), 1-8, 2021 | 7 | 2021 |
| A comparison of Bayesian Markov chain Monte Carlo methods in a multilevel scenario D Karunarasan, R Sooriyarachchi, V Pinto Communications in Statistics-Simulation and Computation 52 (10), 4756-4772, 2023 | 5 | 2023 |
| Novphy: A testbed for physical reasoning in open-world environments C Gamage, V Pinto, C Xue, P Zhang, E Nikonova, M Stephenson, J Renz arXiv preprint arXiv:2303.01711, 2023 | 3 | 2023 |
| Comparison of methods of estimation for a goodness of fit test–an analytical and simulation study V Pinto, R Sooriyarachchi Journal of Statistical Computation and Simulation 91 (9), 1846-1866, 2021 | 3 | 2021 |
| Physics-based task generation through causal sequence of physical interactions C Gamage, V Pinto, M Stephenson, J Renz Proceedings of the AAAI Conference on Artificial Intelligence and …, 2023 | 2 | 2023 |
| The difficulty of novelty detection in open-world physical domains: An application to angry birds V Pinto, C Xue, CN Gamage, M Stephenson, J Renz arXiv preprint arXiv:2106.08670, 2021 | 2 | 2021 |
| Comparison of methods of estimation for use in goodness of fit tests for binary multilevel models IV Pinto, MR Sooriyarachchi International Journal of Mathematical and Computational Sciences 13 (4), 68-73, 2019 | 2 | 2019 |
| The Difficulty of Novelty Detection and Adaptation in Physical Environments V Pinto, C Gamage, M Stephenson, J Renz Australasian Joint Conference on Artificial Intelligence, 28-40, 2023 | 1 | 2023 |
| Measuring difficulty of novelty reaction E Nikonova, C Xue, V Pinto, C Gamage, P Zhang, J Renz arXiv preprint arXiv:2207.13857, 2022 | 1 | 2022 |
Jochen RenzProfessor, Australian National UniversityVerified email at anu.edu.au
