Heuristic anytime approaches to stochastic decision processes

DOI10.1007/s10732-006-4834-3zbMath1163.90812OpenAlexW2012287204MaRDI QIDQ2491343

Rafael Sanz, Amador R. Diéguez, Joaquín L. Fernández, Reid G. Simmons

Publication date: 29 May 2006

Published in: Journal of Heuristics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10732-006-4834-3

zbMATH Keywords

PlanningPOMDPPartially observable Markov decision processHeuristic algorithmsDecision Systems

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Markov and semi-Markov decision processes (90C40)

Uses Software

• POMDP

Cites Work

• Unnamed Item
• Unnamed Item
• Planning and acting in partially observable stochastic domains
• Abstraction and approximate decision-theoretic planning.
• A survey of algorithmic methods for partially observed Markov decision processes
• Real-time heuristic search
• State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms
• Markovian Decision Processes with Probabilistic Observation of States
• The Optimal Control of Partially Observable Markov Processes over the Infinite Horizon: Discounted Costs
• OPTIMAL CONTROL FOR PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES OVER AN INFINITE HORIZON