Multi-agent machine learning : a reinforcement approach /
"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory...
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | Schwartz, Howard M. (Editor ) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, NJ :
John Wiley & Sons,
[2014]
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Multi-agent machine learning : a reinforcement approach /
Publicado: (2014) -
Training a reinforcement learning agent to play soccer (football).
Publicado: (2020) -
Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents /
por: Ciaburro, Giuseppe
Publicado: (2018) -
State-of-the-art deep learning models in Tensorflow : modern machine learning in the Google colab ecosystem /
por: Paper, David
Publicado: (2021) -
Reinforcement learning in motion /
Publicado: (2019)