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Discounted Markov Decision Processes with Fuzzy Rewards Induced by Non-fuzzy Systems

PROCEEDINGS ARTICLE published 2021 in Proceedings of the 10th International Conference on Operations Research and Enterprise Systems

Authors: Karla Carrero-Vera | Hugo Cruz-Suárez | Raúl Montes-de-Oca

Discounted Markov Decision Processes with Fuzzy Rewards Induced by Non-fuzzy Systems

PROCEEDINGS ARTICLE published 2021 in Proceedings of the 10th International Conference on Operations Research and Enterprise Systems

Authors: Karla Carrero-Vera | Hugo Cruz-Suárez | Raúl Montes-de-Oca

A Modified Policy Iteration Algorithm for Discounted Reward Markov Decision Processes

JOURNAL ARTICLE published 15 January 2016 in International Journal of Computer Applications

Authors: Sanaa Chafik | Cherki Daoui

Region-based value iteration for partially observable Markov decision processes

PROCEEDINGS ARTICLE published 2006 in Proceedings of the 23rd international conference on Machine learning - ICML '06

Authors: Hui Li | Xuejun Liao | Lawrence Carin

Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices

PROCEEDINGS ARTICLE published August 2007 in 2007 International Joint Conference on Neural Networks

Authors: Baohua Li | Jennie Si

Accelerating Interval Iteration for Expected Rewards in Markov Decision Processes

PROCEEDINGS ARTICLE published 2020 in Proceedings of the 15th International Conference on Software Technologies

Authors: Mohammadsadegh Mohagheghi | Khayyam Salehi

Optimal Policies for Payment of Dividends through a Fixed Barrier at Discrete Time

PROCEEDINGS ARTICLE published 2017 in Proceedings of the 6th International Conference on Operations Research and Enterprise Systems

Authors: Raúl Montes-de-Oca | Patricia Saavedra | Gabriel Zacarías-Espinoza | Daniel Cruz-Suárez

Optimal Policies for Payment of Dividends through a Fixed Barrier at Discrete Time

PROCEEDINGS ARTICLE published 2017 in Proceedings of the 6th International Conference on Operations Research and Enterprise Systems

Authors: Raúl Montes-de-Oca | Patricia Saavedra | Gabriel Zacarías-Espinoza | Daniel Cruz-Suárez

Advantage based value iteration for Markov decision processes with unknown rewards

PROCEEDINGS ARTICLE published July 2016 in 2016 International Joint Conference on Neural Networks (IJCNN)

Authors: Pegah Alizadeh | Yann Chevaleyre | Francois Levy

Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes

PROCEEDINGS ARTICLE published August 2019 in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Authors: Mahsa Ghasemi | Ufuk Topcu

On the General Utility of Discounted Markov Decision Processes

JOURNAL ARTICLE published 10 January 1998 in International Transactions in Operational Research

Authors: Y Kadota

Markov Decision Processes with Discounted Cost: The action elimination procedures

PROCEEDINGS ARTICLE published July 2019 in 2019 International Conference of Computer Science and Renewable Energies (ICCSRE)

Authors: Abdellatif SEMMOURI | Mostafa JOURHMANE

Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes

PROCEEDINGS ARTICLE published August 2021 in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Authors: Aria HasanzadeZonuzy | Dileep Kalathil | Srinivas Shakkottai

Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes

PROCEEDINGS ARTICLE published July 2011 in The 2011 International Joint Conference on Neural Networks

Authors: Baohua Li | Jennie Si

Optimal Decision Tree Policies for Markov Decision Processes

PROCEEDINGS ARTICLE published August 2023 in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Authors: Daniël Vos | Sicco Verwer

Robust Dynamic Programming for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Transition Matrice

PROCEEDINGS ARTICLE published April 2007 in 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning

Authors: Baohua Li | Jennie Si

Accelerated decomposition techniques for large discounted Markov decision processes

JOURNAL ARTICLE published December 2017 in Journal of Industrial Engineering International

Authors: Abdelhadi Larach | S. Chafik | C. Daoui

On the General Utility of Discounted Markov Decision Processes

JOURNAL ARTICLE published January 1998 in International Transactions in Operational Research

Authors: Y. Kadota | M. Kurano | M. Yasuda

Computing Optimal Stationary Policies for Multi-Objective Markov Decision Processes

PROCEEDINGS ARTICLE published April 2007 in 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning

Authors: Marco A. Wiering | Edwin D. de Jong

Robust topological policy iteration for infinite horizon bounded Markov Decision Processes

JOURNAL ARTICLE published February 2019 in International Journal of Approximate Reasoning

Research funded by São Paulo Research Foundation (2015/01587-0)

Authors: Willy Arthur Silva Reis | Leliane Nunes de Barros | Karina Valdivia Delgado