Foundations of Reinforcement Learning with Applications in Finance

Book Description

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.

中文：

书名：强化学习的基础及其在金融中的应用

强化学习在金融中的应用基础
旨在揭开强化学习的神秘面纱，并使其成为那些在应用领域 (尤其是金融领域) 学习和工作的人的实用工具。

强化学习正在成为一种可行且强大的技术，用于解决跨行业的各种复杂问题，这些问题涉及不确定性下的顺序最优决策。它在自动驾驶汽车，机器人技术和战略游戏等备受瞩目的问题中的渗透表明，未来的强化学习算法将具有远远优于人类的决策能力。但是，当谈到在这一领域接受教育时，似乎不愿立即介入，因为强化学习似乎已经获得了神秘和异国情调的声誉。即使是技术人员也经常声称该科目涉及高级数学和复杂的工程，从而为其他感兴趣的学生设置了心理障碍。

本书旨在克服这一障碍，并以一种平衡理解深度与清晰，最低限度的技术交付的方式介绍强化学习的基础。

特征

专注于基础理论基础强化学习，适合作为强化学习课程的主要文本，也可以作为应用/金融数学、编程和其他相关课程的补充阅读，适合定量分析师或行业专家的专业受众融合理论/数学，编程/算法和现实世界的金融细微差别，同时始终努力保持简单性并建立直观的理解。