madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes

C++ Python Submitted 19 September 2024 • Published 02 April 2025
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Authors

Matilde Gargiani (0000-0001-8615-6214), Philip Pawlowsky (0009-0003-9732-3884), Robin Sieber (0009-0002-8592-8387), Václav Hapla (0000-0002-9190-2207), John Lygeros (0000-0002-6159-1962)

Citation

Gargiani et al., (2025). madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes. Journal of Open Source Software, 10(108), 7411, https://doi.org/10.21105/joss.07411

@article{Gargiani2025, doi = {10.21105/joss.07411}, url = {https://doi.org/10.21105/joss.07411}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {108}, pages = {7411}, author = {Matilde Gargiani and Philip Pawlowsky and Robin Sieber and Václav Hapla and John Lygeros}, title = {madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes}, journal = {Journal of Open Source Software} }
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PETSc Markov decision processes dynamic programming inexact policy iteration methods high-performance computing distributed computing

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ISSN 2475-9066