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Patrick Mannion — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Patrick Mannion
16
papers ·
28
citations ·
14
h-index
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Most-cited papers
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
2019 · 6 citations
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
2021 · 6 citations
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
2022 · 3 citations
Exploring the Impact of Tunable Agents in Sequential Social Dilemmas
2021 · 2 citations
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication
2023 · 2 citations
Distributional Multi-Objective Decision Making
2023 · 1 citations
Go-Explore for Residential Energy Management
2024 · 1 citations
Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
2025
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
2024
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
2022
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
2024
Demonstration Guided Multi-Objective Reinforcement Learning
2024
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
2024
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
2024
Top co-authors
Diederik M. Roijers
· 7
Conor F. Hayes
· 6
Enda Howley
· 6
Karl Mason
· 5
Mathieu Reymond
· 4
Roxana R\u{a}dulescu
· 3
Ann Now\'e
· 2
Junlin Lu
· 2
Junlin Lu
· 2
Willem R\"opke
· 2
Adam Callaghan
· 1
Ahmad El-Sallab
· 1
Topics
Model-Based RL
Multi-Agent
Safe RL
Meta-RL
Value-Based
Exploration
Policy Gradient
Game AI
cs.GT
econ.GN