| Fast context adaptation via meta-learning L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson International Conference on Machine Learning, 7693-7702, 2019 | 437 | 2019 |
| Varibad: A very good method for bayes-adaptive deep rl via meta-learning L Zintgraf, K Shiarlis, M Igl, S Schulze, Y Gal, K Hofmann, S Whiteson arXiv preprint arXiv:1910.08348, 2019 | 294 | 2019 |
| Inverse reinforcement learning from failure K Shiarlis, J Messias, S Whiteson International Foundation for Autonomous Agents and Multiagent Systems, 2016 | 115 | 2016 |
| Taco: Learning task decomposition via temporal alignment for control K Shiarlis, M Wulfmeier, S Salter, S Whiteson, I Posner International Conference on Machine Learning, 4654-4663, 2018 | 106 | 2018 |
| Learning from demonstration in the wild F Behbahani, K Shiarlis, X Chen, V Kurin, S Kasewa, C Stirbu, J Gomes, ... 2019 International Conference on Robotics and Automation (ICRA), 775-781, 2019 | 77 | 2019 |
| Symphony: Learning realistic and diverse agents for autonomous driving simulation M Igl, D Kim, A Kuefler, P Mougin, P Shah, K Shiarlis, D Anguelov, ... 2022 International Conference on Robotics and Automation (ICRA), 2445-2451, 2022 | 59 | 2022 |
| Varibad: Variational bayes-adaptive deep rl via meta-learning L Zintgraf, S Schulze, C Lu, L Feng, M Igl, K Shiarlis, Y Gal, K Hofmann, ... Journal of Machine Learning Research 22 (289), 1-39, 2021 | 48 | 2021 |
| TERESA: A socially intelligent semi-autonomous telepresence system K Shiarlis, J Messias, M van Someren, S Whiteson, J Kim, J Vroon, ... Workshop on machine learning for social robotics at ICRA-2015 in Seattle, 2015 | 41 | 2015 |
| Rapidly exploring learning trees K Shiarlis, J Messias, S Whiteson 2017 IEEE international conference on robotics and automation (ICRA), 1541-1548, 2017 | 37 | 2017 |
| Caml: Fast context adaptation via meta-learning LM Zintgraf, K Shiarlis, V Kurin, K Hofmann, S Whiteson | 32 | 2018 |
| Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration K Shiarlis, J Messias, S Whiteson 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 12 | 2017 |
| Multi-modal multi-agent trajectory prediction P Sun, H Zhao, A McCauley, B Sapp, J Gao, D Anguelov, X Huang, ... US Patent 12,049,221, 2024 | 2 | 2024 |
| Hierarchical Imitation Learning for Stochastic Environments M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| Behaviour Models for Autonomous Vehicle Simulators SA Whiteson, J Messias, X Chen, F Behbahani, K Shiarli, S Kasewa, ... US Patent App. 16/978,446, 2021 | 1 | 2021 |
| Latent Hierarchical Imitation Learning for Stochastic Environments M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ... | 1 | |
| Behaviour Models for Autonomous Vehicle Simulators SA Whiteson, J Messias, X Chen, F Behbahani, K Shiarli, S Kasewa, ... US Patent App. 18/655,018, 2024 | | 2024 |
| Generating simulated agent trajectories using parallel beam search KC Shiarlis, D Anguelov, BA White, SA Whiteson, IGL Maximilian, D Kim, ... US Patent App. 17/947,046, 2023 | | 2023 |
| Wolfson Building, Parks Road, OX1 3QD Oxford (UK) Sebastian Schulze sebastian. schulze@ eng. ox. ac. uk University of Oxford Cong Lu cong. lu@ stats. ox. ac. uk University of … L Feng, M Igl, K Shiarlis, Y Gal, K Hofmann, S Whiteson Journal of Machine Learning Research 22, 1-39, 2021 | | 2021 |
| Detaching the strings: Practical algorithms for Learning from Demonstration KC Shiarlis | | 2019 |
| Acquiring Social Interaction Behaviours for Telepresence Robots via Deep Learning from Demonstration S Whiteson | | 2017 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk