Impacto de constantes en algoritmo q-learning en pac-man
Se analiza el impacto de variables en la función de q-learning para el juego pacman.
- Autores:
-
Martínez Contreras, Juan Pablo
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/64590
- Acceso en línea:
- http://hdl.handle.net/1992/64590
- Palabra clave:
- Inteligencia artificial
Pac man
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Impacto de constantes en algoritmo q-learning en pac-man |
| title |
Impacto de constantes en algoritmo q-learning en pac-man |
| spellingShingle |
Impacto de constantes en algoritmo q-learning en pac-man Inteligencia artificial Pac man Ingeniería |
| title_short |
Impacto de constantes en algoritmo q-learning en pac-man |
| title_full |
Impacto de constantes en algoritmo q-learning en pac-man |
| title_fullStr |
Impacto de constantes en algoritmo q-learning en pac-man |
| title_full_unstemmed |
Impacto de constantes en algoritmo q-learning en pac-man |
| title_sort |
Impacto de constantes en algoritmo q-learning en pac-man |
| dc.creator.fl_str_mv |
Martínez Contreras, Juan Pablo |
| dc.contributor.advisor.none.fl_str_mv |
Takahashi Rodriguez, Silvia |
| dc.contributor.author.none.fl_str_mv |
Martínez Contreras, Juan Pablo |
| dc.subject.keyword.none.fl_str_mv |
Inteligencia artificial Pac man |
| topic |
Inteligencia artificial Pac man Ingeniería |
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Ingeniería |
| description |
Se analiza el impacto de variables en la función de q-learning para el juego pacman. |
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2022 |
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2022-02-02 |
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2023-02-03T13:53:49Z |
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2023-02-03T13:53:49Z |
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Trabajo de grado - Pregrado |
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spa |
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Habib, N. (2019). Hands-on Q-learning with python: Practical Q-learning with openai gym, Keras, and tensorflow. Packt. Alo_ P. Rakshit et al., "Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 4, pp. 814-831, July 2013, doi: 10.1109/TSMCA.2012.2226024. Fan, J., Wang, Z., Xie, Y., & Yang, Z. (2020, July). A theoretical analysis of deep Q-learning. In Learning for Dynamics and Control (pp. 486-489). PMLR. University of Berkley, PacMan proyects version 1.001 CS188 Intro to AI ¿ Course Materials |
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24 paginas |
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Universidad de los Andes |
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Ingeniería de Sistemas y Computación |
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Facultad de Ingeniería |
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Departamento de Ingeniería Sistemas y Computación |
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(2019). Hands-on Q-learning with python: Practical Q-learning with openai gym, Keras, and tensorflow. Packt. Alo_P. Rakshit et al., "Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 4, pp. 814-831, July 2013, doi: 10.1109/TSMCA.2012.2226024.Fan, J., Wang, Z., Xie, Y., & Yang, Z. (2020, July). A theoretical analysis of deep Q-learning. In Learning for Dynamics and Control (pp. 486-489). 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