Kyriacos Shiarlis

According to our database, Kyriacos Shiarlis authored at least 13 papers between 2016 and 2025.

Collaborative distances:

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

2025

A Safety and Security Framework for Real-World Agentic Systems.

Shaona Ghosh, Barnaby Simkin, Kyriacos Shiarlis, Soumili Nandi, Dan Zhao, Matthew Fiedler, Julia Bazinska, Nikki Pope, Roopa Prabhu, Daniel Rohrer, Michael Demoret, Bartley Richardson

CoRR, November, 2025

Gandalf the Red: Adaptive Security for LLMs.

Niklas Pfister, Václav Volhejn, Manuel Knott, Santiago Arias, Julia Bazinska, Mykhailo Bichurin, Alan Y. Commike, Janet Darling, Peter Dienes, Matthew Fiedler, David Haber, Matthias Kraft, Marco Lancini, Max Mathys, Damián Pascual-Ortiz, Jakub Podolak, Adrià Romero-López, Kyriacos Shiarlis, Andreas Signer, Zsolt Terek, Athanasios Theocharis, Daniel Timbrell, Samuel Trautwein, Samuel Watts, Yun-Han Wu, Mateo Rojas-Carulla

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Hierarchical Imitation Learning for Stochastic Environments.

Maximilian Igl, Punit Shah, Paul Mougin, Sirish Srinivasan, Tarun Gupta, Brandyn White, Kyriacos Shiarlis, Shimon Whiteson

IROS, 2023

2022

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.

Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson

J. Mach. Learn. Res., 2021

2020

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

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

2019

Learning From Demonstration in the Wild.

Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson

Proceedings of the International Conference on Robotics and Automation, 2019

Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

CAML: Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

CoRR, 2018

TACO: Learning Task Decomposition via Temporal Alignment for Control.

Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner

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

2017

Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration.

Kyriacos Shiarlis, João V. Messias, Shimon Whiteson

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Rapidly exploring learning trees.

Kyriacos Shiarlis, João V. Messias, Shimon Whiteson

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Inverse Reinforcement Learning from Failure.

Kyriacos Shiarlis, João V. Messias, Shimon Whiteson

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016