Contacto
Cómo comprar
Entrega
Guía de compras
Inglés
131 b
Hasta 30 días para devoluciones
Clientes que también han comprado
Reinforcement learning is the problem faced by an§agent that must learn behavior through§trial-and-error interactions with a dynamic§environment. Usually, the problem to be solved§contains subtasks that repeat at different regions of§the state space. Without any guidance§an agent has to learn the solutions of all subtask§instances independently, which in turn degrades the§performance of the learning process. In this work, we§propose two novel approaches for building the§connections between different regions of the search§space. The first approach efficiently discovers§abstractions in the form of conditionally terminating§sequences and represents these abstractions compactly§as a single tree structure; this structure is then§used to determine the actions to be executed by the§agent. In the second approach, a similarity function§between states is defined based on the number of§common action sequences; by using this similarity§function, updates on the action-value function of a§state are re ected to all similar states that allows§experience acquired during learning be applied to a§broader context. The effectiveness of both approaches§is demonstrated empirically over various domains.
Sobre el libro
Inglés
Regale este libro hoy
Es fácil
1 Añadir al carrito y elegir Entregar como regalo en el checkout 2 Le enviaremos un vale 3 El libro llegará a la dirección del destinatarioTambién puede interesarle
/
Tapa blanda
15.79
€
/
Tapa blanda
27.19
€
/
Tapa blanda
17.09
€
/
Tapa blanda
13.59
€
/
Tapa dura
99.69
€
/
Tapa blanda
44.59
€
¡Hola! Soy Libroamiko, tu asesor de libros.
¿Cómo puedo ayudarte?