MDPax: GPU-acclerated MDP solvers in Python with JAX
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Recurso digital |
| Publié: |
Zenodo
2025
|
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901984135610368 |
|---|---|
| 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 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| 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 |