Patrick Mannion

Ann Nowé

Marcello Restelli

Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Seán Caulfield Curley

Karl Mason

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Scalar Reward is Not Enough.

[BibT_eX]

[DOI]

Benjamin J. Smith

Johan Källström

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract).

[BibT_eX]

[DOI]

Seán Caulfield Curley

Karl Mason

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Reinforcement Learning for Autonomous Driving: A Survey.

[BibT_eX]

[DOI]

Senthil Kumar Yogamani

Patrick Pérez

IEEE Trans. Intell. Transp. Syst., 2022

Special issue on adaptive and learning agents 2020.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Opponent learning awareness and modelling in multi-objective normal form games.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2022

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021).

[BibT_eX]

[DOI]

Benjamin J. Smith

Johan Källström

Auton. Agents Multi Agent Syst., 2022

A practical guide to multi-objective reinforcement learning and planning.

[BibT_eX]

[DOI]

Athirai A. Irissappane

Ann Nowé

Marcello Restelli

Diederik M. Roijers

Auton. Agents Multi Agent Syst., 2022

Decision-Theoretic Planning for the Expected Scalarised Returns.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Special issue on adaptive and learning agents 2018.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2021

Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making.

[BibT_eX]

[DOI]

CoRR, 2021

Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring the Impact of Tunable Agents in Sequential Social Dilemmas.

[BibT_eX]

[DOI]

David O'Callaghan

CoRR, 2021

Tunable Behaviours in Sequential Social Dilemmas using Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

David O'Callaghan

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

Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

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

2020

A utility-based analysis of equilibria in multi-objective normal-form games.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2020

Special issue on adaptive and learning agents 2019.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2020

Multi-objective multi-agent decision making: a utility-based analysis and survey.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2020

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Vulnerable road user detection: state-of-the-art and open challenges.

[BibT_eX]

[DOI]

CoRR, 2019

Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems.

[BibT_eX]

[DOI]

Senthil Kumar Yogamani

Ahmad El Sallab

Patrick Pérez

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Fitness Critics for Multiagent Learning: Extended Abstract.

[BibT_eX]

[DOI]

Golden Rockefeller

Kagan Tumer

Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Curriculum Learning for Tightly Coupled Multiagent Systems.

[BibT_eX]

[DOI]

Golden Rockefeller

Kagan Tumer

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Special issue on adaptive and learning agents 2017.

[BibT_eX]

[DOI]

Anna Harutyunyan

Kaushik Subramanian

Knowl. Eng. Rev., 2018

Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2018

2017

Multi-agent credit assignment in stochastic resource management games.

[BibT_eX]

[DOI]

Knowl. Eng. Rev., 2017

Policy invariance under reward transformations for multi-objective reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games.

[BibT_eX]

[DOI]

Jim Duggan

Enda Howley

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).

[BibT_eX]

[DOI]

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

An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control.

[BibT_eX]

[DOI]

Jim Duggan

Enda Howley

Proceedings of the Autonomic Road Transport Support Systems, 2016

2015

Parallel Reinforcement Learning for Traffic Signal Control.

[BibT_eX]

[DOI]

Jim Duggan

Enda Howley

Proceedings of the 6th International Conference on Ambient Systems, 2015

2006

Integrating UWB in consumer devices.

[BibT_eX]

[DOI]