TY  - GEN
N2  - Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
DO  - 10.1007/978-3-030-61867-4
DO  - doi
AB  - Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
T1  - From shortest paths to reinforcement learning :a MATLAB-based tutorial on dynamic programming /
AU  - Brandimarte, Paolo,
CN  - T57.83
ID  - 1433493
KW  - Dynamic programming.
KW  - Operations research
KW  - Management science
KW  - Programmation dynamique.
KW  - Recherche opérationnelle
KW  - Sciences de la gestion
SN  - 9783030618674
SN  - 3030618676
TI  - From shortest paths to reinforcement learning :a MATLAB-based tutorial on dynamic programming /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-61867-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-61867-4
ER  -