Patrick Mannion

Computer Science · Physical Sciences

14h-index1.4kcitations105works0.72yr avg
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Research Topics

Reinforcement Learning in Robotics(41), Advanced Multi-Objective Optimization Algorithms(17), Auction Theory and Applications(10), Smart Grid Energy Management(9), Game Theory and Applications(8)

Publications105 total

Predicting Long-Term Self-Rated Health in Small Areas Using Ordinal Regression and Microsimulation
ArXiv.org·2026Open Access
Predicting Long-Term Self-Rated Health in Small Areas Using Ordinal Regression and Microsimulation
arXiv (Cornell University)·2026Open Access
Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
arXiv (Cornell University)·2025Open Access
Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
ArXiv.org·2025Open Access
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
arXiv (Cornell University)·2025Open Access
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning
Neurocomputing·2025Open Access
Ireland in 2057: Projections using a Geographically Diverse Dynamic Microsimulation
arXiv (Cornell University)·2025Open Access
An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in Ireland
Data in Brief·2025Open Access
Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain
Neurocomputing·2025· 1 citedOpen Access
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
Frontiers in artificial intelligence and applications·2024· 1 citedOpen Access
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management
Frontiers in artificial intelligence and applications·2024· 3 citedOpen Access
Inferring preferences from demonstrations in multi-objective reinforcement learning
Neural Computing and Applications·2024· 1 citedOpen Access
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
arXiv (Cornell University)·2024Open Access
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
arXiv (Cornell University)·2024Open Access
Demonstration Guided Multi-Objective Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Expert Systems with Applications·2024· 7 citedOpen Access
Low-cost Open-architecture Experimental Platform for Dynamic Systems and Feedback Control
2021 ASEE Virtual Annual Conference Content Access Proceedings·2024Open Access
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Enda Howley(18), Diederik M. Roijers(16), Conor F. Hayes(11), Roxana Rădulescu(11), Ann Nowé(9), Jim Duggan(8), Mathieu Reymond(6), Karl Mason(6), Timothy Verstraeten(5), Johan Källström(4), Richard Dazeley(4), Peter Vamplew(4), Ibrahim Sobh(4), Victor Talpaert(4), Senthil Yogamani(4), Patrick Pérez(4), Sam Devlin(4), Fredrik Heintz(3), Gabriel de Oliveira Ramos(3), Bangalore Ravi Kiran(3)