找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Recent Advances in Reinforcement Learning; Leslie Pack Kaelbling Book 1996 Springer Science+Business Media New York 1996 Performance.algor

[復(fù)制鏈接]
查看: 55852|回復(fù): 47
樓主
發(fā)表于 2025-3-21 17:38:59 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Advances in Reinforcement Learning
編輯Leslie Pack Kaelbling
視頻videohttp://file.papertrans.cn/823/822970/822970.mp4
圖書封面Titlebook: Recent Advances in Reinforcement Learning;  Leslie Pack Kaelbling Book 1996 Springer Science+Business Media New York 1996 Performance.algor
描述.Recent Advances in Reinforcement Learning. addressescurrent research in an exciting area that is gaining a great deal ofpopularity in the Artificial Intelligence and Neural Networkcommunities. .Reinforcement learning has become a primary paradigm of machinelearning. It applies to problems in which an agent (such as a robot, aprocess controller, or an information-retrieval engine) has to learnhow to behave given only information about the success of its currentactions. This book is a collection of important papers that addresstopics including the theoretical foundations of dynamic programmingapproaches, the role of prior knowledge, and methods for improvingperformance of reinforcement-learning techniques. These papers buildon previous work and will form an important resource for students andresearchers in the area. ..Recent Advances in Reinforcement Learning. is an edited volume ofpeer-reviewed original research comprising twelve invitedcontributions by leading researchers. This research work has also beenpublished as a special issue of .Machine Learning. (Volume 22,Numbers 1, 2 and 3).
出版日期Book 1996
關(guān)鍵詞Performance; algorithms; artificial intelligence; intelligence; learning; machine learning; programming; pr
版次1
doihttps://doi.org/10.1007/b102434
isbn_softcover978-1-4419-5160-1
isbn_ebook978-0-585-33656-5
copyrightSpringer Science+Business Media New York 1996
The information of publication is updating

書目名稱Recent Advances in Reinforcement Learning影響因子(影響力)




書目名稱Recent Advances in Reinforcement Learning影響因子(影響力)學(xué)科排名




書目名稱Recent Advances in Reinforcement Learning網(wǎng)絡(luò)公開度




書目名稱Recent Advances in Reinforcement Learning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recent Advances in Reinforcement Learning被引頻次




書目名稱Recent Advances in Reinforcement Learning被引頻次學(xué)科排名




書目名稱Recent Advances in Reinforcement Learning年度引用




書目名稱Recent Advances in Reinforcement Learning年度引用學(xué)科排名




書目名稱Recent Advances in Reinforcement Learning讀者反饋




書目名稱Recent Advances in Reinforcement Learning讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:27:10 | 只看該作者
Steven J. Bradtke,Andrew G. Bartolash produced by the explosion of an aluminum ribbon short circuited on a battery, that Ettore Majorana came in search of Fermi. I was introduced to him and we 978-90-481-6435-6978-94-017-0107-5Series ISSN 0168-1222 Series E-ISSN 2365-6425
板凳
發(fā)表于 2025-3-22 02:52:16 | 只看該作者
地板
發(fā)表于 2025-3-22 07:42:57 | 只看該作者
5#
發(fā)表于 2025-3-22 11:02:58 | 只看該作者
6#
發(fā)表于 2025-3-22 15:36:16 | 只看該作者
7#
發(fā)表于 2025-3-22 19:04:19 | 只看該作者
Matthias Heger in a symmetrical way, ?nally elimin- ing the necessity to rely on the extremely arti?cial and unsatisfactory hypothesis of an in?nitely large electrical charge di?used in space, a question that had been tackled in vain by many other scholars [4].978-90-481-8073-8978-1-4020-9114-8Series ISSN 0168-1222 Series E-ISSN 2365-6425
8#
發(fā)表于 2025-3-22 21:56:20 | 只看該作者
Sven Koenig,Reid G. Simmons in a symmetrical way, ?nally elimin- ing the necessity to rely on the extremely arti?cial and unsatisfactory hypothesis of an in?nitely large electrical charge di?used in space, a question that had been tackled in vain by many other scholars [4].978-90-481-8073-8978-1-4020-9114-8Series ISSN 0168-1222 Series E-ISSN 2365-6425
9#
發(fā)表于 2025-3-23 03:30:44 | 只看該作者
Richard Maclin,Jude W. Shavlik in a symmetrical way, ?nally elimin- ing the necessity to rely on the extremely arti?cial and unsatisfactory hypothesis of an in?nitely large electrical charge di?used in space, a question that had been tackled in vain by many other scholars [4].978-90-481-8073-8978-1-4020-9114-8Series ISSN 0168-1222 Series E-ISSN 2365-6425
10#
發(fā)表于 2025-3-23 07:41:50 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-20 06:31
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
日土县| 沅江市| 澜沧| 紫金县| 独山县| 兴文县| 金平| 炎陵县| 温宿县| 广州市| 彩票| 黄龙县| 漳州市| 梅河口市| 宝应县| 庆安县| 松滋市| 西吉县| 青岛市| 水城县| 锦州市| 女性| 友谊县| 西昌市| 高青县| 泉州市| 安顺市| 墨玉县| 珠海市| 蒙山县| 城固县| 三穗县| 特克斯县| 高淳县| 余江县| 许昌市| 甘孜县| 中卫市| 长沙市| 清水河县| 洞口县|