Foundations of reinforcement learning with applications in finance /
Rao, Ashwin,
Foundations of reinforcement learning with applications in finance / Ashwin Rao, Tikhon Jelvis. - 1 Edition. - 1 online resource
"Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance. Reinforcement Learning is emerging as a viable and powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and exotic. Even technical people will often claim that the subject involves "advanced math" and "complicated engineering", erecting a psychological barrier to entry against otherwise interested students. This book seeks to overcome that barrier, and to introduce the foundations of Reinforcement Learning in a way that balances depth of understanding with clear, minimally technical delivery. Features Focus on the foundational theory underpinning Reinforcement Learning Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or industry specialists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding"--
9781003229193 1003229190 9781000801057 1000801055 9781000801101 1000801101
10.1201/9781003229193 doi
Finance--Study and teaching.
Reinforcement learning.
MATHEMATICS / Applied
BUSINESS & ECONOMICS / Finance
HG152 / .R36 2023eb
332.076
Foundations of reinforcement learning with applications in finance / Ashwin Rao, Tikhon Jelvis. - 1 Edition. - 1 online resource
"Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance. Reinforcement Learning is emerging as a viable and powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and exotic. Even technical people will often claim that the subject involves "advanced math" and "complicated engineering", erecting a psychological barrier to entry against otherwise interested students. This book seeks to overcome that barrier, and to introduce the foundations of Reinforcement Learning in a way that balances depth of understanding with clear, minimally technical delivery. Features Focus on the foundational theory underpinning Reinforcement Learning Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or industry specialists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding"--
9781003229193 1003229190 9781000801057 1000801055 9781000801101 1000801101
10.1201/9781003229193 doi
Finance--Study and teaching.
Reinforcement learning.
MATHEMATICS / Applied
BUSINESS & ECONOMICS / Finance
HG152 / .R36 2023eb
332.076