Reinforcement Learning: Mathematical Foundations and Algorithmic Principles

Reinforcement Learning Foundations

Cambridge University Press

Deep Reinforcement Learning: Frontiers of Artificial Intelligence

Springer

Deep Reinforcement Learning: Frontiers of Artificial Intelligence

Springer

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Chapman and Hall/CRC

Reinforcement Learning: Industrial Applications of Intelligent Agents

O'Reilly

Reinforcement Learning: 173 (The Springer International Series in Engineering and Computer Science, 173)

Springer

Reinforcement Learning in Action: From Foundations to Frontier AI

CRC Press

Deep Reinforcement Learning in Action

Manning

Grokking Deep Reinforcement Learning

Manning

Transfer in Reinforcement Learning Domains: 216 (Studies in Computational Intelligence, 216)

Springer

Machine Learning with Neural Networks: An Introduction for Scientists and Engineers

Cambridge University Press

Motivated Reinforcement Learning: Curious Characters for Multiuser Games

Springer

Neural Networks and Statistical Learning

Springer

Qualitative Spatial Abstraction in Reinforcement Learning (Cognitive Technologies)

Springer

Linear Algebra, Data Science, and Machine Learning (Springer Undergraduate Texts in Mathematics and Technology)

Springer

HANDBOOK OF ENGINEERING MATHEMATICS FOR MODERN ENGINEERS: Calculus, Linear Algebra, Differential Equations, Numerical Computing, AI Foundations, and Applications

Mastering Game Physics Engines: From Mathematical Foundations to Real-Time Simulation The Mathematics, Science, and Programming of Realistic Interactive Effects (The Modern Systems Engineering)

Practical Electronic Reliability Engineering: Getting the Job Done from Requirement through Acceptance

Springer

Stochastic Learning and Optimization: A Sensitivity-Based Approach

Springer

A Practical Guide to Reinforcement Learning from Human Feedback: Foundations, aligning large language models, and the evolution of preference-based methods

Packt Publishing

An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces (Compact Textbooks in Mathematics)

Birkhauser

Cambridge Mathematics for Machine Learning Textbook

Cambridge University Press

HANDBOOK OF ENGINEERING FUNDAMENTALS: A Complete Reference in Statics, Dynamics, Thermodynamics, Materials and Circuits

Fundamentals of Pattern Recognition and Machine Learning

Springer