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Risk Aware and Multi-Objective Decision Making with Distributional Monte
  Carlo Tree Search
v1v2 (latest)

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
ArXiv (abs)PDFHTMLGithub

Papers citing "Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search"

5 / 5 papers shown
Sample-Efficient Multi-Objective Learning via Generalized Policy
  Improvement Prioritization
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement PrioritizationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
L. N. Alegre
A. Bazzan
D. Roijers
Ann Nowé
Bruno C. da Silva
392
54
0
18 Jan 2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective
  Reinforcement Learning
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement LearningAutonomous Agents and Multi-Agent Systems (AAMAS), 2022
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
281
7
0
23 Nov 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns
  with Generative Flow Models
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
248
3
0
01 Jul 2022
Expected Scalarised Returns Dominance: A New Solution Concept for
  Multi-Objective Decision Making
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
313
15
0
02 Jun 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
A Practical Guide to Multi-Objective Reinforcement Learning and PlanningAutonomous Agents and Multi-Agent Systems (AAMAS), 2021
Conor F. Hayes
Roxana Ruadulescu
Eugenio Bargiacchi
Johan Källström
Matthew Macfarlane
...
Ann Nowé
Gabriel de Oliveira Ramos
Marcello Restelli
Peter Vamplew
D. Roijers
OffRL
434
503
0
17 Mar 2021
1
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