Statistical Reinforcement Learning: Modern Machine Learning Approaches

Statistical Reinforcement Learning: Modern Machine Learning Approaches

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

Reinforcement Learning (Hardcover)

Deep Reinforcement Learning (Paperback)

Reinforcement Learning and Dynamic Programming Using Function Approximators

Reinforcement Learning and Dynamic Programming Using Function Approximators

Deep Reinforcement Learning Hands-On - Third Edition: A practical and easy-to-follow guide to RL from Q-learning and DQN (Paperback)

Self-learning Control of Finite Markov Chains

Adaptive Computation and Machine Learnin Reinforcement Learning Second Edition: An Introduction (Hardcover)

Reinforcement Learning for Finance: From Portfolio Allocation to Smart Execution

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

Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms

Self-Learning Control of Finite Markov Chains

Pre-Owned Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series) Paperback

Reinforcement Learning from Human Feedback: LLM alignment and post-training

Reinforcement Learning from Scratch: Understanding Current Approaches - With Examples in Java and Greenfoot (Hardcover)

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

From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research)

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

TensorFlow Reinforcement Learning Quick Start Guide (Paperback)

"An Introduction to Deep Reinforcement Learning

Reinforcement Learning Algorithms: Analysis and Applications

Partial Differential Equations for Probabilists

Pre-Owned Hierarchical Decomposition in Reinforcement Learning (Paperback)

Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition)

Introduction to Stochastic Calculus With Applications

Bayesian Reasoning and Machine Learning

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies

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

Distributional Reinforcement Learning