A Single Dice Roll to Satisfy All Goals: Randomisation Requirements for Strategies in Multi-Objective Markov Decision Processes

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ORBi UMONS
Published
2024-09-19
Primary Topic
Reinforcement Learning in Robotics
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article

A Single Dice Roll to Satisfy All Goals: Randomisation Requirements for Strategies in Multi-Objective Markov Decision Processes

James C. A. Main
ORBi UMONS
Reinforcement Learning in Robotics
article

A Single Dice Roll to Satisfy All Goals: Randomisation Requirements for Strategies in Multi-Objective Markov Decision Processes

James C. A. Main
article en

Abstract

No abstract available for this paper.
ORBi UMONS
Laboratoire de Mathématiques d'Orsay (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 40%
Reinforcement Learning in Robotics
Open Access PDFOpenAlex
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A Single Dice Roll to Satisfy All Goals: Randomisation Requirements for Strategies in Multi-Objective Markov Decision Processes — James C. A. Main · ORBi UMONS (2024) | TGRS Research Map | TGRS