Kamil Ciosek

According to our database, Kamil Ciosek authored at least 29 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Strong Baseline for Batch Imitation Learning.

Matthew Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek

CoRR, 2023

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning.

Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay.

Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Imitation Learning by Reinforcement Learning.

Kamil Ciosek

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Information Directed Reward Learning for Reinforcement Learning.

David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Interactive Bayesian Reinforcement Learning via Meta-Learning.

Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Evaluating the Robustness of Collaborative Agents.

Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Regularized Policies are Reward Robust.

Hisham Husain, Kamil Ciosek, Ryota Tomioka

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Estimating α-Rank by Maximizing Information Gain.

Tabish Rashid, Cheng Zhang, Kamil Ciosek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature.

Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson

J. Mach. Learn. Res., 2020

Expected Policy Gradients for Reinforcement Learning.

Kamil Ciosek, Shimon Whiteson

J. Mach. Learn. Res., 2020

DRIFT: Deep Reinforcement Learning for Functional Software Testing.

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

CoRR, 2020

Multi-task Batch Reinforcement Learning with Metric Learning.

Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discount Factor as a Regularizer in Reinforcement Learning.

Ron Amit, Ron Meir, Kamil Ciosek

Proceedings of the 37th International Conference on Machine Learning, 2020

Conservative Uncertainty Estimation By Fitting Prior Networks.

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner

Proceedings of the 8th International Conference on Learning Representations, 2020

AMRL: Aggregated Memory For Reinforcement Learning.

Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Pre-training as Batch Meta Reinforcement Learning with tiMe.

Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen

CoRR, 2019

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck.

Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Better Exploration with Optimistic Actor Critic.

Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Fourier Policy Gradients.

Matthew Fellows, Kamil Ciosek, Shimon Whiteson

Proceedings of the 35th International Conference on Machine Learning, 2018

Alternating Optimisation and Quadrature for Robust Control.

Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Expected Policy Gradients.

Kamil Ciosek, Shimon Whiteson

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

OFFER: Off-Environment Reinforcement Learning.

Kamil Andrzej Ciosek, Shimon Whiteson

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Alternating Optimisation and Quadrature for Robust Reinforcement Learning.

Supratik Paul, Kamil Ciosek, Michael A. Osborne, Shimon Whiteson

CoRR, 2016

2015

Linear reinforcement learning with options.

Kamil Andrzej Ciosek

PhD thesis, 2015

Value Iteration with Options and State Aggregation.

Kamil Ciosek, David Silver

CoRR, 2015

2013

Properties of the Least Squares Temporal Difference learning algorithm

Kamil Ciosek

CoRR, 2013

2012

Compositional Planning Using Optimal Option Models.

David Silver, Kamil Ciosek

Proceedings of the 29th International Conference on Machine Learning, 2012

2009

Generating 3D Plants using Lindenmayer System.

Kamil Ciosek, Pawel Kotowski

Proceedings of the GRAPP 2009, 2009