Synthesis Lectures on Artificial Intelligence and Machine Learning

Statistical Relational Artificial Intelligence

Logic, Probability, and Computation

Predicting Human Decision-Making

From Prediction to Action

Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Intelligent Autonomous Robotics

A Robot Soccer Case Study

Essentials of Game Theory

A Concise Multidisciplinary Introduction

Representation Discovery using Harmonic Analysis

Action Programming Languages

Introduction to Semi-Supervised Learning

Markov Logic

An Interface Layer for Artificial Intelligence

Data Integration

The Relational Logic Approach

Algorithms for Reinforcement Learning

Learning with Support Vector Machines

Visual Object Recognition

Trading Agents

Human Computation

Short Introduction to Preferences

Between AI and Social Choice

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Computational Aspects of Cooperative Game Theory

Planning with Markov Decision Processes

An AI Perspective

Active Learning

Answer Set Solving in Practice

Case-Based Reasoning

A Concise Introduction

Essential Principles for Autonomous Robotics

Concise Introduction to Models and Methods for Automated Planning

Introduction to Intelligent Systems in Traffic and Transportation

Introduction to Constraint-Based Temporal Reasoning

Judgment Aggregation

A Primer

General Game Playing

Robot Learning from Human Teachers