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Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search
1 February 2021
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
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Papers citing
"Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search"
5 / 5 papers shown
Title
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
L. N. Alegre
A. Bazzan
D. Roijers
Ann Nowé
Bruno C. da Silva
80
30
0
18 Jan 2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
54
4
0
23 Nov 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
61
3
0
01 Jul 2022
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
65
15
0
02 Jun 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes
Roxana Ruadulescu
Eugenio Bargiacchi
Johan Källström
Matthew Macfarlane
...
Ann Nowé
Gabriel de Oliveira Ramos
Marcello Restelli
Peter Vamplew
D. Roijers
OffRL
91
341
0
17 Mar 2021
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