longtermevolution
2020-09-19, 07:57 AM
Book Name:
Deep Reinforcement Learning for Wireless Networks
Reinforcement learning is an important branch of machine learning, where an agent learns to take actions that would yield the most reward by interacting with the environment. The main advantage of reinforcement learning is that it works well without prior knowledge of an exact mathematical model of the environment.
This Book presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks.
Author:
F. Richard Yu, Ying He
Link:
https://dgdrive.xyz/rd8yhjrwvxwg
Keep Learning
Deep Reinforcement Learning for Wireless Networks
Reinforcement learning is an important branch of machine learning, where an agent learns to take actions that would yield the most reward by interacting with the environment. The main advantage of reinforcement learning is that it works well without prior knowledge of an exact mathematical model of the environment.
This Book presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks.
Author:
F. Richard Yu, Ying He
Link:
https://dgdrive.xyz/rd8yhjrwvxwg
Keep Learning