multiobjectiveMDP
1.0.0Solution Methods for Multi-Objective Markov Decision Processes
Overview
Compendium of the most representative algorithms in print---vector-valued dynamic programming, linear programming, policy iteration, the weighting factor approach---for solving multi-objective Markov decision processes, with or without reward discount, over a finite or infinite horizon. Mifrani, A. (2024) doi:10.1007/s10479-024-06439-x; Mifrani, A. & Noll, D. doi:10.48550/arXiv.2502.13697; Wakuta, K. (1995) doi:10.1016/0304-4149(94)00064-Z.
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Health
- OK2026-03-1010 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
43 23 exported
Complexity
9.3 avg / 36 max
Call network
43 nodes / 82 edges
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People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-06
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
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