| Science birds novelty: An open-world learning test-bed for physics domains C Xue, V Pinto, P Zhang, C Gamage, E Nikonova, J Renz Proceedings of the AAAI Spring Symposium on Designing AI for Open-World …, 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 | 7 | 2023 |
| Phy-q: A benchmark for physical reasoning C Xue, V Pinto, C Gamage, E Nikonova, P Zhang, J Renz arXiv preprint arXiv:2108.13696 3, 2021 | 6 | 2021 |
| Deep q-network for angry birds E Nikonova, J Gemrot arXiv preprint arXiv:1910.01806, 2019 | 5 | 2019 |
| 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 |
| Rapid Open-World Adaptation by Adaptation Principles Learning C Xue, E Nikonova, P Zhang, J Renz arXiv preprint arXiv:2312.11138, 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 |
| Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery E Nikonova, C Xue, J Renz arXiv preprint arXiv:2311.14270, 2023 | | 2023 |
| Don't do it: Safer Reinforcement Learning With Rule-based Guidance E Nikonova, C Xue, J Renz arXiv preprint arXiv:2212.13819, 2022 | | 2022 |
| Phy-Q: A Testbed for Physical Reasoning C Xue, V Pinto, C Gamage, E Nikonova, P Zhang, J Renz | | 2022 |
| Learning Underlying Physical Properties From Observations For Trajectory Prediction E Nikonova, J Renz | | 2019 |
| Umělý hráč pro Angry Birds E Nikonova Univerzita Karlova, Matematicko-fyzikální fakulta, 2018 | | 2018 |
Cheng XuePhD Candidate, The Australian National UniversityVerified email at anu.edu.au
