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.
