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.
General
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