【文件属性】：
文件名称：DEEP REINFORCEMENT LEARNING
文件大小：623KB
文件格式：ZIP
更新时间：2021-09-28 14:31:59
深度学习 增强学习
We give an overview of recent exciting achievements of deep reinforcement learning
(RL). We discuss six core elements, six important mechanisms, and twelve
applications. We start with background of machine learning, deep learning and
reinforcement learning. Next we discuss core RL elements, including value function,
in particular, Deep Q-Network (DQN), policy, reward, model, planning, and
exploration. After that, we discuss important mechanisms for RL, including attention
and memory, unsupervised learning, transfer learning, multi-agent RL, hierarchical
RL, and learning to learn.
【文件预览】：
DEEP REINFORCEMENT LEARNING.pdf