MDPax: GPU-acclerated MDP solvers in Python with JAX
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2025
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| author | Farrington, Joseph Wong, Wai Keong Li, Kezhi Utley, Martin |
| author_facet | Farrington, Joseph Wong, Wai Keong Li, Kezhi Utley, Martin |
| contents | <p>MDPax is designed for researchers and practitioners who want to solve large Markov Decision Process (MDP) problems but don't want to become experts in graphics processing unit (GPU) programming. By using JAX, we can take advantage of the massive parallel processing power of GPUs while describing new problems using a simple Python interface.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17488357 |
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| publishDate | 2025 |
| publisher | Zenodo |
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| spellingShingle | MDPax: GPU-acclerated MDP solvers in Python with JAX Farrington, Joseph Wong, Wai Keong Li, Kezhi Utley, Martin <p>MDPax is designed for researchers and practitioners who want to solve large Markov Decision Process (MDP) problems but don't want to become experts in graphics processing unit (GPU) programming. By using JAX, we can take advantage of the massive parallel processing power of GPUs while describing new problems using a simple Python interface.</p> |
| title | MDPax: GPU-acclerated MDP solvers in Python with JAX |
| url | https://doi.org/10.5281/zenodo.17488357 |