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Kamil Ciosek
Kamil Ciosek
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Title
Cited by
Cited by
Year
Generalization in reinforcement learning with selective noise injection and information bottleneck
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann
Advances in neural information processing systems 32, 2019
1662019
Better exploration with optimistic actor critic
K Ciosek, Q Vuong, R Loftin, K Hofmann
Advances in Neural Information Processing Systems 32, 2019
1442019
Expected policy gradients
K Ciosek, S Whiteson
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
852018
Compositional planning using optimal option models
D Silver, K Ciosek
arXiv preprint arXiv:1206.6473, 2012
652012
Offer: Off-environment reinforcement learning
K Ciosek, S Whiteson
Proceedings of the aaai conference on artificial intelligence 31 (1), 2017
592017
Discount factor as a regularizer in reinforcement learning
R Amit, R Meir, K Ciosek
International conference on machine learning, 269-278, 2020
582020
Conservative uncertainty estimation by fitting prior networks
K Ciosek, V Fortuin, R Tomioka, K Hofmann, R Turner
International Conference on Learning Representations, 2019
572019
Multi-task batch reinforcement learning with metric learning
J Li, Q Vuong, S Liu, M Liu, K Ciosek, H Christensen, H Su
Advances in Neural Information Processing Systems 33, 6197-6210, 2020
422020
Expected policy gradients for reinforcement learning
K Ciosek, S Whiteson
Journal of Machine Learning Research 21 (2020), 2020
412020
Deep interactive bayesian reinforcement learning via meta-learning
L Zintgraf, S Devlin, K Ciosek, S Whiteson, K Hofmann
arXiv preprint arXiv:2101.03864, 2021
342021
Evaluating the robustness of collaborative agents
P Knott, M Carroll, S Devlin, K Ciosek, K Hofmann, AD Dragan, R Shah
arXiv preprint arXiv:2101.05507, 2021
222021
Alternating optimisation and quadrature for robust control
S Paul, K Chatzilygeroudis, K Ciosek, JB Mouret, M Osborne, S Whiteson
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
212018
Imitation learning by reinforcement learning
K Ciosek
arXiv preprint arXiv:2108.04763, 2021
202021
Amrl: Aggregated memory for reinforcement learning
J Beck, K Ciosek, S Devlin, S Tschiatschek, C Zhang, K Hofmann
International Conference on Learning Representations, 2019
192019
Information directed reward learning for reinforcement learning
D Lindner, M Turchetta, S Tschiatschek, K Ciosek, A Krause
Advances in Neural Information Processing Systems 34, 3850-3862, 2021
142021
Regularized policies are reward robust
H Husain, K Ciosek, R Tomioka
International Conference on Artificial Intelligence and Statistics, 64-72, 2021
142021
Fourier policy gradients
M Fellows, K Ciosek, S Whiteson
International Conference on Machine Learning, 1486-1495, 2018
142018
Drift: Deep reinforcement learning for functional software testing
L Harries, RS Clarke, T Chapman, SV Nallamalli, L Ozgur, S Jain, ...
arXiv preprint arXiv:2007.08220, 2020
132020
Value iteration with options and state aggregation
K Ciosek, D Silver
arXiv preprint arXiv:1501.03959, 2015
112015
Alternating optimisation and quadrature for robust reinforcement learning
S Paul, K Ciosek, MA Osborne, S Whiteson
arXiv preprint arXiv:1605.07496, 2016
82016
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