Solving nonstationary Markov decision processes via contextual decomposition: A military air battle management application

Author:

Liles Joseph M.ORCID,Robbins Matthew J.ORCID,Lunday Brian J.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference26 articles.

1. Online planning for large Markov decision processes with hierarchical decomposition;Bai;ACM Transactions on Intelligent Systems and Technology,2015

2. Recent advances in hierarchical reinforcement learning;Barto;Discrete Event Dynamic Systems,2003

3. Off-policy evaluation for action-dependent non-stationary environments;Chandak;Conference on Neural Information Processing Systems,2022

4. Reinforcement learning for non-stationary Markov decision processes: the blessing of (more) optimism;Cheung;International Conference on Machine Learning,2020

5. Hidden-mode Markov decision processes for nonstationary sequential decision making;Choi;Sequence Learning,2000

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1. Hidden Markov Model - Applications, Strengths, and Weaknesses;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

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