Reinforcement Learning and Stochastic Optimization

Reinforcement Learning and Stochastic Optimization A Unified Framework for Sequential Decisions

Stochastic Dynamics, Filtering and Optimization

Reinforcement Learning and Dynamic Programming Using Function Approximators

Reinforcement Learning and Dynamic Programming Using Function Approximators

Linear Algebra and Optimization for Machine Learning: A Textbook

Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms

Pre-Owned Introduction to Stochastic Search and Optimization: Estimation Simulation and Control: 64 (Wiley Series in Discrete Mathematics and Optimization) Hardcover

Intelligent Systems Reference Library Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms Book 223 (Hardcover)

Computational Optimal Control Tools and Practice

Multi-Agent Coordination A Reinforcement Learning Approach

Neural Networks for Optimization and Signal Processing

Linear Algebra and Optimization for Machine Learning: A Textbook (Hardcover)

Deep Reinforcement Learning (Paperback)

Deep Reinforcement Learning (Paperback)

The Springer International Engineering a Reinforcement Learning Book 173 (Paperback)

Introduction to Stochastic Calculus With Applications

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Distributional Reinforcement Learning

Introduction to Stochastic Integration

Pre-Owned Advances in Mechanics and Mathematics: Markov Decision Processes with Their Applications (Paperback)

Introduction to Stochastic Calculus with Applications

Lecture Notes in Economic and Mathematic Stochastic Two-Stage Programming Book 392 (Paperback)

Bayesian Reasoning and Machine Learning

Progress in Automation and Information S Recent Advances in Stochastic Calculus (Paperback)

Introduction to Stochastic Calculus With Applications

Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning (Paperback)

Model-Based Reinforcement Learning From Data to Continuous Actions with a Python-based Toolbox

Introduction To Stochastic Control Theory

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox

Variational Bayesian Learning Theory

Stochastic Calculus and Applications

Probability and Stochastic Processes

Engineering Optimization : Theory and Practice

Applied Optimization Modeling Languages in Mathematical Optimization Book 88 (Hardcover)

Stochastic Calculus of Variations

Introduction to Probability, Statistics, and Random Processes

Bayesian Artificial Intelligence, Second Edition

Continuous Stochastic Calculus With Applications to Finance

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Albrecht, Stefano V.,Christianos, Filippos,Schäfer, Lukas [Used - Fine]

Probability, Random Variables, Statistics, and Random Processes Fundamentals & Applications

Dynamic programming and stochastic control, Volume 125 (Mathematics in Science and Engineering)

Introduction to Stochastic Calculus with Applications

Machine Learning (McGraw-Hill International Editions Computer Science Series)

Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics) Warren B. Powell [Used - Good]

Martingales and Stochastic Analysis