Reinforcement learning: state-of-the-art
Marco Wiering, Martijn van Otterlo, editor ([, Springer], 2012)
|
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. |
![]()
|
No. Panggil : | e20398760 |
Entri tambahan-Nama orang : | |
Subjek : | |
Penerbitan : | Berlin: [, Springer], 2012 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
Deskripsi Fisik: | xxxiv, 638 pages : illustration |
Tautan: | http://link.springer.com/book/10.1007%2F978-3-642-27645-3 |
Lembaga Pemilik: | |
Lokasi: |
No. Panggil | No. Barkod | Ketersediaan |
---|---|---|
e20398760 | TERSEDIA |
Ulasan: |
Tidak ada ulasan pada koleksi ini: 20398760 |