Efficient algorithms for risk-sensitive Markov decision processes with limited budget
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Publication:2060792
DOI10.1016/j.ijar.2021.09.003OpenAlexW3200473303MaRDI QIDQ2060792
Denis Deratani Mauá, Daniel A. Melo Moreira, Leliane Nunes de Barros, Karina Valdivia Delgado
Publication date: 13 December 2021
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2021.09.003
Cites Work
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- Optimization models for the first arrival target distribution function in discrete time
- Stochastic dynamic programming with factored representations
- Optimal policy for minimizing risk models in Markov decision processes
- Minimising a threshold probability in discounted Markov decision processes
- Goal Probability Analysis in Probabilistic Planning: Exploring and Enhancing the State of the Art
- Introduction to Stochastic Programming
- Multiplicative Markov Decision Chains
- Undecidability of Cost-Bounded Reachability in Priced Probabilistic Timed Automata
- Variance-Penalized Markov Decision Processes
- A Utility Criterion for Markov Decision Processes
- The variance of discounted Markov decision processes
- Percentile performance criteria for limiting average Markov decision processes
- Risk-Sensitive Markov Decision Processes
- On terminating Markov decision processes with a risk-averse objective function
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