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ORCIDKamil Ciosek
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2020 – today
- 2024
[j3]Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek:
On the Importance of Uncertainty in Decision-Making with Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)- [i22]Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek:
On the Importance of Uncertainty in Decision-Making with Large Language Models. CoRR abs/2404.02649 (2024) - [i21]Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek:
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel. CoRR abs/2409.03953 (2024) - 2023
- [c20]Thomas M. McDonald
, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek:
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. KDD 2023: 1687-1697 - [c19]Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai:
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. KDD 2023: 4948-4957 - [i20]Matthew Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek:
A Strong Baseline for Batch Imitation Learning. CoRR abs/2302.02788 (2023) - [i19]Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek:
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. CoRR abs/2307.09943 (2023) - [i18]Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai:
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. CoRR abs/2310.09123 (2023) - 2022
- [c18]Kamil Ciosek:
Imitation Learning by Reinforcement Learning. ICLR 2022 - 2021
- [c17]Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. AAAI 2021: 5673-5681 - [c16]Hisham Husain, Kamil Ciosek, Ryota Tomioka:
Regularized Policies are Reward Robust. AISTATS 2021: 64-72 - [c15]Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah:
Evaluating the Robustness of Collaborative Agents. AAMAS 2021: 1560-1562 - [c14]Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann:
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. AAMAS 2021: 1712-1714 - [c13]David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause:
Information Directed Reward Learning for Reinforcement Learning. NeurIPS 2021: 3850-3862 - [i17]Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann:
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. CoRR abs/2101.03864 (2021) - [i16]Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah:
Evaluating the Robustness of Collaborative Agents. CoRR abs/2101.05507 (2021) - [i15]Hisham Husain, Kamil Ciosek, Ryota Tomioka:
Regularized Policies are Reward Robust. CoRR abs/2101.07012 (2021) - [i14]Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. CoRR abs/2101.09178 (2021) - [i13]David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause:
Information Directed Reward Learning for Reinforcement Learning. CoRR abs/2102.12466 (2021) - [i12]Kamil Ciosek:
Imitation Learning by Reinforcement Learning. CoRR abs/2108.04763 (2021) - 2020
- [j2]Kamil Ciosek, Shimon Whiteson:
Expected Policy Gradients for Reinforcement Learning. J. Mach. Learn. Res. 21: 52:1-52:51 (2020) - [j1]Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson:
Robust Reinforcement Learning with Bayesian Optimisation and Quadrature. J. Mach. Learn. Res. 21: 151:1-151:31 (2020) - [c12]Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann:
AMRL: Aggregated Memory For Reinforcement Learning. ICLR 2020 - [c11]Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner:
Conservative Uncertainty Estimation By Fitting Prior Networks. ICLR 2020 - [c10]Ron Amit, Ron Meir, Kamil Ciosek:
Discount Factor as a Regularizer in Reinforcement Learning. ICML 2020: 269-278 - [c9]Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su:
Multi-task Batch Reinforcement Learning with Metric Learning. NeurIPS 2020 - [i11]Ron Amit, Ron Meir, Kamil Ciosek:
Discount Factor as a Regularizer in Reinforcement Learning. CoRR abs/2007.02040 (2020) - [i10]Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Özgür, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek:
DRIFT: Deep Reinforcement Learning for Functional Software Testing. CoRR abs/2007.08220 (2020)
2010 – 2019
- 2019
- [c8]Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann:
Better Exploration with Optimistic Actor Critic. NeurIPS 2019: 1785-1796 - [c7]Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann:
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. NeurIPS 2019: 13956-13968 - [i9]Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen:
Pre-training as Batch Meta Reinforcement Learning with tiMe. CoRR abs/1909.11373 (2019) - [i8]Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann:
Better Exploration with Optimistic Actor-Critic. CoRR abs/1910.12807 (2019) - [i7]Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann:
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. CoRR abs/1910.12911 (2019) - 2018
- [c6]Kamil Ciosek, Shimon Whiteson:
Expected Policy Gradients. AAAI 2018: 2868-2875 - [c5]Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson:
Alternating Optimisation and Quadrature for Robust Control. AAAI 2018: 3925-3933 - [c4]Matthew Fellows, Kamil Ciosek, Shimon Whiteson:
Fourier Policy Gradients. ICML 2018: 1485-1494 - [i6]Kamil Ciosek, Shimon Whiteson:
Expected Policy Gradients for Reinforcement Learning. CoRR abs/1801.03326 (2018) - [i5]Matthew Fellows, Kamil Ciosek, Shimon Whiteson:
Fourier Policy Gradients. CoRR abs/1802.06891 (2018) - 2017
- [c3]Kamil Andrzej Ciosek, Shimon Whiteson:
OFFER: Off-Environment Reinforcement Learning. AAAI 2017: 1819-1825 - [i4]Kamil Ciosek, Shimon Whiteson:
Expected Policy Gradients. CoRR abs/1706.05374 (2017) - 2016
- [i3]Supratik Paul, Kamil Ciosek, Michael A. Osborne, Shimon Whiteson:
Alternating Optimisation and Quadrature for Robust Reinforcement Learning. CoRR abs/1605.07496 (2016) - 2015
- [b1]Kamil Andrzej Ciosek:
Linear reinforcement learning with options. University College London, UK, 2015 - [i2]Kamil Ciosek, David Silver:
Value Iteration with Options and State Aggregation. CoRR abs/1501.03959 (2015) - 2013
- [i1]Kamil Ciosek:
Properties of the Least Squares Temporal Difference learning algorithm. CoRR abs/1301.5220 (2013) - 2012
- [c2]David Silver, Kamil Ciosek:
Compositional Planning Using Optimal Option Models. ICML 2012
2000 – 2009
- 2009
- [c1]Kamil Ciosek, Pawel Kotowski:
Generating 3D Plants using Lindenmayer System. GRAPP 2009: 76-81
Coauthor Index
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