机读格式显示(MARC)
- 000 01511cam a2200361 i 4500
- 008 200911r20202019cc a b 001 0 eng d
- 020 __ |a 9787302540328 |q paperback
- 040 __ |a SCT |b eng |c SCT |e rda |d SCT |d JLU
- 099 __ |a CAL 022020218761
- 100 1_ |a Bertsekas, Dimitri P., |e author.
- 245 10 |a Reinforcement learning and optimal control / |c Dimitri P. Bertsekas = 强化学习与最优控制 / 德梅萃·P.博塞卡斯著.
- 264 _1 |a 北京 : |b 清华大学出版社, |c 2020.
- 300 __ |a xvi, 373 pages : |b illustrations ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a 国际知名大学原版教材. 信息技术学科与电气工程学科系列
- 504 __ |a Includes bibliographical references (pages 345-368) and index.
- 505 0_ |a 1. Exact Dynamic programming -- 2. Approximation in value space -- 3. Parametric approximation -- 4. Infinite horizon dynamic programming -- 5. Infinite horizon reinforcement learning -- 6. Aggregation.
- 534 __ |p Reprint. Originally published: |c Belmont, Massachusetts : Athena Scientific, [2019]. |z 9781886529397 (hardcover)
- 650 _0 |a Mathematical optimization.
- 650 _0 |a Reinforcement learning.
- 650 _0 |a Neural networks (Computer science)
- 650 _0 |a Dynamic programming.
- 650 _0 |a Artificial intelligence.
- 950 __ |a SCNU |f O232/B551