The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies.
真正的高清原生PDF文件
附件列表
Wiley - Multi-Agent Machine Learning A Reinforcement Approach (2014).pdf
扫码加好友，拉您进群
全部版块
我的主页
收藏
