Real-time dynamic programming for Markov decision processes with imprecise probabilities

DOI10.1016/j.artint.2015.09.005zbMath1344.68246OpenAlexW2101097136WikidataQ62047354 ScholiaQ62047354MaRDI QIDQ901046

Karina V. Delgado, Leliane N. de Barros, Scott Sanner, Daniel B. Dias

Publication date: 23 December 2015

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2015.09.005

zbMATH Keywords

Markov decision processprobabilistic planningrobust planning

Mathematics Subject Classification ID

Dynamic programming (90C39) Reasoning under uncertainty in the context of artificial intelligence (68T37) Markov and semi-Markov decision processes (90C40) Agent technology and artificial intelligence (68T42)

Related Items

Sequential Convex Programming for the Efficient Verification of Parametric MDPs ⋮ A survey of decision making and optimization under uncertainty ⋮ Unnamed Item ⋮ Relevant states and memory in Markov chain bootstrapping and simulation ⋮ Deniable Functional Encryption ⋮ A Sufficient Statistic for Influence in Structured Multiagent Environments

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Efficient solutions to factored MDPs with imprecise transition probabilities
• The factored policy-gradient planner
• External control in Markovian genetic regulatory networks
• Credal networks
• Stochastic dynamic programming with factored representations
• Bounded-parameter Markov decision processes
• Discovering hidden structure in factored MDPs
• Towards qualitative approaches to multi-stage decision making
• Graphical models for imprecise probabilities
• A Concise Introduction to Models and Methods for Automated Planning
• Distributed dynamic programming
• An Analysis of Stochastic Shortest Path Problems
• Stochastic Shortest Path Games
• Markov Decision Processes with Imprecise Transition Probabilities
• Robust Intervention in Probabilistic Boolean Networks
• Markovian Decision Processes with Uncertain Transition Probabilities