Kamil Ciosek

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Discount Factor

Eligibility Traces

Reinforcement Learning

Top Venues

Publications

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)
Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek
On the Importance of Uncertainty in Decision-Making with Large Language Models. CoRR (2024)
Matthew Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek
A Strong Baseline for Batch Imitation Learning. CoRR (2023)
Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. KDD (2023)
Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. CoRR (2023)
Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. CoRR (2023)
Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. KDD (2023)
Kamil Ciosek
Imitation Learning by Reinforcement Learning. ICLR (2022)
Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. CoRR (2021)
Kamil Ciosek
Imitation Learning by Reinforcement Learning. CoRR (2021)
Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
Evaluating the Robustness of Collaborative Agents. AAMAS (2021)
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
Information Directed Reward Learning for Reinforcement Learning. NeurIPS (2021)
Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. AAMAS (2021)
Tabish Rashid, Cheng Zhang, Kamil Ciosek
Estimating α-Rank by Maximizing Information Gain. CoRR (2021)
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
Information Directed Reward Learning for Reinforcement Learning. CoRR (2021)
Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
Evaluating the Robustness of Collaborative Agents. CoRR (2021)
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Regularized Policies are Reward Robust. CoRR (2021)
Tabish Rashid, Cheng Zhang, Kamil Ciosek
Estimating α-Rank by Maximizing Information Gain. AAAI (2021)
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Regularized Policies are Reward Robust. AISTATS (2021)
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 (2020)
Ron Amit, Ron Meir, Kamil Ciosek
Discount Factor as a Regularizer in Reinforcement Learning. ICML (2020)
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)
Kamil Ciosek, Shimon Whiteson
Expected Policy Gradients for Reinforcement Learning. J. Mach. Learn. Res. 21 (2020)
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
AMRL: Aggregated Memory For Reinforcement Learning. ICLR (2020)
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 (2020)
Ron Amit, Ron Meir, Kamil Ciosek
Discount Factor as a Regularizer in Reinforcement Learning. CoRR (2020)
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner
Conservative Uncertainty Estimation By Fitting Prior Networks. ICLR (2020)
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
Better Exploration with Optimistic Actor Critic. NeurIPS (2019)
Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen
Pre-training as Batch Meta Reinforcement Learning with tiMe. CoRR (2019)
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)
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
Better Exploration with Optimistic Actor-Critic. CoRR (2019)
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 (2019)
Matthew Fellows, Kamil Ciosek, Shimon Whiteson
Fourier Policy Gradients. ICML (2018)
Matthew Fellows, Kamil Ciosek, Shimon Whiteson
Fourier Policy Gradients. CoRR (2018)
Kamil Ciosek, Shimon Whiteson
Expected Policy Gradients. AAAI (2018)
Kamil Ciosek, Shimon Whiteson
Expected Policy Gradients for Reinforcement Learning. CoRR (2018)
Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
Alternating Optimisation and Quadrature for Robust Control. AAAI (2018)
Kamil Ciosek, Shimon Whiteson
Expected Policy Gradients. CoRR (2017)
Supratik Paul, Kamil Ciosek, Michael A. Osborne, Shimon Whiteson
Alternating Optimisation and Quadrature for Robust Reinforcement Learning. CoRR (2016)
Kamil Ciosek, David Silver
Value Iteration with Options and State Aggregation. CoRR (2015)
Kamil Ciosek
Properties of the Least Squares Temporal Difference learning algorithm CoRR (2013)
David Silver, Kamil Ciosek
Compositional Planning Using Optimal Option Models. ICML (2012)
Kamil Ciosek, Pawel Kotowski
Generating 3D Plants using Lindenmayer System. GRAPP (2009)