Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms (Foundations and Trends® in Optimization)

Universal Features for High-Dimensional Learning and Inference (Foundations and Trends® in Communications and Information Theory)

An Invitation to Deep Reinforcement Learning (Foundations and Trends® in Artificial Intelligence)

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning (Foundations and Trends® in Machine Learning)

Gradient-Based Algorithms for Zeroth-Order Optimization (Foundations and Trends® in Artificial Intelligence)

Multi-agent Online Optimization (Foundations and Trends® in Artificial Intelligence)

Trustworthy Machine Learning: From Data to Models (Foundations and Trends® in Artificial Intelligence)

Learning to Learn: Reinforcement Learning Explained for Humans

Cloud and Edge Computing for Connected and Automated Vehicles (Foundations and Trends® in Electronic Design Automation)

Causal Machine Learning: A Survey and Open Problems (Foundations and Trends® in Artificial Intelligence)

Estimation Contracts for Outlier-Robust Geometric Perception (Foundations and Trends® in Robotics)

User-friendly Introduction to PAC-Bayes Bounds (Foundations and Trends® in Machine Learning)

Supply Chain Finance and Risk Management in a Digital Era (Foundations and Trends® in Technology, Information and Operations Management)

Search as Learning (Foundations and Trends® in Computer Science)

Computational Intelligence and Modern Heuristics

Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Intelligent Optimization Modelling in Energy Forecasting

MDPI AG

Demystifying Variational Diffusion Models (Foundations and Trends® in Artificial Intelligence)

A Toolbox for Refined Information-Theoretic Analyses with Applications (Foundations and Trends® in Engineering)

Intervention-based Research in Operations Management (Foundations and Trends® in Technology, Information and Operations Management)

Advanced Modeling and Research in Hybrid Microgrid Control and Optimization

Deep Reinforcement Learning for Orbital Pursuit-Evasion Game

Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning (Foundations and Trends® in Machine Learning)

Evolving Fuzzy Models: Incremental Learning, Interpretability and Stability Issues, Applications

VDM Verlag

Handbook of Reinforcement Learning