Dr Patrick Mannion

B.Eng, Phd

Contact Details

Lecturer in Computer Science
IT Building
NUI Galway
E: patrick.mannion@nuigalway.ie
https://scholar.google.com/citations?user=zjX2dVcAAAAJ
 
researcher
 

Biography

Dr Patrick Mannion is a full-time member of academic staff at National University of Ireland Galway, where he lectures in Computer Science. From January 2017 to May 2019 he served as an Assistant Lecturer in Computing at Galway-Mayo Institute of Technology. In 2018, he visited Prof Kagan Tumer at the Collaborative Robotics and Intelligent Systems Institute, Oregon State University as a Fulbright-TechImpact Scholar

He completed his PhD in Machine Learning at NUI Galway in 2017. He also holds a BEng in Civil Engineering (NUI Galway, 2012), a HDipAppSc in Software Development (NUI Galway, 2013), and a PgCert in Teaching and Learning (GMIT, 2018). He was awarded an Irish Research Council Government of Ireland Postgraduate Scholarship and an NUI Galway College of Engineering and Informatics Postgraduate Scholarship for his PhD studies. 

Dr Mannion regularly reviews for journals and conferences such as the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), the International Symposium on Multi-Robot and Multi-Agent Systems (MRS), the Journal of Artificial Intelligence Research and various IEEE journals. He is currently serving as a Guest Editor for The Knowledge Engineering Review journal (Impact Factor 1.070) for the period 2017 - 2020.

Dr Mannion served as co-chair and co-organiser for the Adaptive and Learning Agents workshops which were held in May 2017 at AAMAS in Sao Paulo (http://ala2017.it.nuigalway.ie), in July 2018 at the Federated AI Meeting in Stockholm (http://ala2018.it.nuigalway.ie) and in May 2019 at AAMAS in Montreal (http://ala2019.vub.ac.be). He has served as a member of the Senior Steering Committee of the Adaptive and Learning Agents Workshop series since May 2019.

His research interests include autonomous vehicles, reinforcement learning, multi-agent systems, and multi-objective optimisation. He currently supervises one PhD student at NUI Galway.


Research Interests

Dr Mannion's main research interests are in the following areas:
  • Artificial Intelligence
  • Machine Learning
  • Reinforcement Learning
  • Autonomous Agents and Multi-Agent Systems
  • Game Theory
  • Multi-Objective Optimisation
  • Evolutionary Computation

Dr Mannion is also interested in applications of the above techniques to challenging problem domains, such as:
  • Game-playing Agents
  • Multi-Robot Systems
  • Autonomous Vehicles
  • Intelligent Transportation Systems
  • Energy Systems / Smart Grid

Peer Reviewed Journals

  Year Publication
(2018) 'Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning'
Mannion, P; Devlin, S; Duggan, J; Howley, E (2018) 'Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning'. Knowledge Engineering Review, 33 [DOI] [Details]
(2018) 'Special issue on adaptive and learning agents 2017'
Mannion, P; Harutyunyan, A; Subramanian, K (2018) 'Special issue on adaptive and learning agents 2017'. Knowledge Engineering Review, 33 [Details]
(2017) 'Policy invariance under reward transformations for multi-objective reinforcement learning'
Mannion, P; Devlin, S; Mason, K; Duggan, J; Howley, E (2017) 'Policy invariance under reward transformations for multi-objective reinforcement learning'. Neurocomputing, 263 :60-73 [DOI] [Details]
(2017) 'Multi-agent credit assignment in stochastic resource management games'
Mannion, P; Devlin, S; Duggan, J; Howley, E (2017) 'Multi-agent credit assignment in stochastic resource management games'. Knowledge Engineering Review, 32 [DOI] [Details]
(2015) 'Pyritiferous mudstone/siltstone: factors affecting expansion and predictions of expansion rates'
McCabe, B.A., McKeon, E.P., Virbukiene, R.J., Mannion, P.J., O'Connell, A.M. (2015) 'Pyritiferous mudstone/siltstone: factors affecting expansion and predictions of expansion rates'. Quarterly Journal of Engineering Geology and Hydrogeology, 48 :41-54 [DOI] [Details]

Book Chapters

  Year Publication
(2016) 'An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control'
Mannion, P; Duggan, J; Howley, E (2016) 'An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control' In: Autonomic Road Transport Support Systems. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. [DOI] [Details]

Conference Publications

  Year Publication
(2019) 2019 International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)
Rockefeller, G; Mannion, P; Tumer, K (2019) Curriculum Learning for Tightly Coupled Multiagent Systems 2019 International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) [Details]
(2019) Adaptive and Learning Agents Workshop (at AAMAS 2019)
Radulescu, R; Mannion, P; Roijers, DM; Nowé, A (2019) Equilibria in Multi-Objective Games: a Utility-Based Perspective Adaptive and Learning Agents Workshop (at AAMAS 2019) Montreal, [Details]
(2019) International Conference on Computer Vision Theory and Applications (VISAPP)
Talpert, V; Sobh, I; Kiran, BR; Mannion, P; Yogamani, S; El-Sallab, A; Perez, P (2019) Exploring applications of deep reinforcement learning for real-world autonomous driving systems International Conference on Computer Vision Theory and Applications (VISAPP) [Details]
(2017) AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS
Mannion, P;Duggan, J;Howley, E (2017) A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS , pp.1625-1627 [Details]
(2017) Adaptive and Learning Agents workshop (at AAMAS 2017)
Mannion, P; Devlin, S; Mason, K; Duggan, J; Howley, E (2017) Potential-Based Reward Shaping Preserves Pareto Optimal Policies Adaptive and Learning Agents workshop (at AAMAS 2017) [Details]
(2017) Adaptive and Learning Agents workshop (at AAMAS 2017)
Mousavi, SS; Schukat, M; Mannion, P; Howley, E (2017) Applying Q(λ)-learning in Deep Reinforcement Learning to Play Atari Games Adaptive and Learning Agents workshop (at AAMAS 2017) Sao Paulo, [Details]
(2017) Adaptive and Learning Agents workshop (at AAMAS 2017)
Mannion, P; Duggan, J; Howley, E (2017) Analysing the Effects of Reward Shaping in Multi-Objective Stochastic Games Adaptive and Learning Agents workshop (at AAMAS 2017) [Details]
(2016) Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016)
Mannion, P; Duggan, J; Howley, E (2016) Generating Multi-Agent Potential Functions using Counterfactual Estimates Learning, Inference and Control of Multi-Agent Systems (at NIPS 2016) Barcelona, [Details]
(2016) AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS
Mannion, P; Mason, K; Devlin, S; Duggan, J; Howley, E (2016) Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS Singapore, , pp.1345-1346 [Details]
(2016) Adaptive and Learning Agents workshop (at AAMAS 2016)
Mannion, P; Devlin, S; Duggan, J; Howley, E (2016) Avoiding the Tragedy of the Commons using Reward Shaping Adaptive and Learning Agents workshop (at AAMAS 2016) [Details]
(2016) Adaptive and Learning Agents workshop (at AAMAS 2016)
Mason, K; Mannion, P; Duggan, J; Howley, E (2016) Applying Multi-Agent Reinforcement Learning to Watershed Management Adaptive and Learning Agents workshop (at AAMAS 2016) Singapore, [Details]
(2016) Adaptive and Learning Agents workshop (at AAMAS 2016)
Mannion, P; Mason, K; Devlin, S; Duggan, J; Howley, E (2016) Dynamic Economic Emissions Dispatch Optimisation using Multi-Agent Reinforcement Learning Adaptive and Learning Agents workshop (at AAMAS 2016) Singapore, [Details]
(2015) 12th European Workshop on Reinforcement Learning (at ICML 2015)
Mannion, P; Duggan, J; Howley, E (2015) Parallel Reinforcement Learning with State Action Space Partitioning 12th European Workshop on Reinforcement Learning (at ICML 2015) [Details]
(2015) ABMTRANS’15: 4th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications
P. Mannion, J. Duggan, & E. Howley. (2015) Parallel Reinforcement Learning for Traffic Signal Control ABMTRANS’15: 4th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications [Details]
(2015) Adaptive Learning Agents (ALA) Workshop held at AAMAS ’15
P. Mannion, J. Duggan, & E. Howley (2015) Learning Traffic Signal Control with Advice Adaptive Learning Agents (ALA) Workshop held at AAMAS ’15 [Details]
(2015) Adaptive Learning Agents (ALA) Workshop held at AAMAS ’15
P. Mannion, J. Duggan, & E. Howley (2015) Parallel Learning using Heterogeneous Agents Adaptive Learning Agents (ALA) Workshop held at AAMAS ’15 [Details]

Thesis

  Year Publication
(2017) Knowledge-Based Multi-Objective Multi-Agent Reinforcement Learning.
Mannion, P (2017) Knowledge-Based Multi-Objective Multi-Agent Reinforcement Learning. Thesis [Details]

Honours and Awards

  Year Title Awarding Body
2018 Fulbright-TechImpact Scholarship Fulbright Commission
2015 Best Paper Award 5th NUIG UL Research Day 2015
2014 Government of Ireland Postgraduate Scholarship Irish Research Council
2013 College of Engineering and Informatics Postgraduate Scholarship National University of Ireland Galway
2006 Silver Medallist Irish Junior Science Olympiad

Professional Associations

  Association Function From / To
Adaptive and Learning Agents Workshop Series Senior Steering Committee Member 13-MAY-19 /

Committees

  Committee Function From / To
Adaptive and Learning Agents Workshop @ AAMAS 2019, Montreal Co-chair 01-NOV-18 / 31-MAY-19
Adaptive and Learning Agents Workshop @ Federated AI Meeting 2018, Stockholm Co-chair 01-NOV-17 / 31-MAY-18
Adaptive and Learning Agents Workshop @ AAMAS 2017, Sao Paulo Co-chair 01-NOV-16 / 31-MAY-17

Employment

  Employer Position From / To
National University of Ireland Galway Lecturer in Computer Science 01-JUN-19 /
Galway-Mayo Institute of Technology Assistant Lecturer in Computing 01-JAN-17 / 31-MAY-19

Education

  Year Institution Qualification Subject
2019 Institute of Technology Sligo PgCert Sensors for Autonomous Vehicles
2018 Galway-Mayo Institute of Technology PgCert Teaching and Learning
2018 National University of Ireland Galway PhD Machine Learning
2013 National University of Ireland Galway HDipAppSc Software Design and Development (Industry Stream)
2012 National University of Ireland Galway BEng (Hons) Civil Engineering

Teaching Interests

  • Artificial Intelligence
  • Machine Learning