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Kyriacos Shiarlis
Kyriacos Shiarlis
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Title
Cited by
Cited by
Year
Fast context adaptation via meta-learning
L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson
International Conference on Machine Learning, 7693-7702, 2019
4092019
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
2672019
Inverse reinforcement learning from failure
K Shiarlis, J Messias, S Whiteson
International Foundation for Autonomous Agents and Multiagent Systems, 2016
1072016
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
992018
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
732019
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
502022
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
402015
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
382021
Rapidly exploring learning trees
K Shiarlis, J Messias, S Whiteson
2017 IEEE international conference on robotics and automation (ICRA), 1541-1548, 2017
362017
Caml: Fast context adaptation via meta-learning
LM Zintgraf, K Shiarlis, V Kurin, K Hofmann, S Whiteson
302018
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
122017
Multi-modal multi-agent trajectory prediction
P Sun, H Zhao, A McCauley, B Sapp, J Gao, D Anguelov, X Huang, ...
US Patent App. 17/540,140, 2022
22022
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
12023
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
12021
Latent Hierarchical Imitation Learning for Stochastic Environments
M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ...
1
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
Robot Learning of Social Path Planning Using a Simulator
TMA Mulder, BOK Intelligentie, JTS Messias, K Shiarlis, MW van Someren
2015
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