Books by Synthesis Lectures on Artificial Intelligence and Machine Learning
Essentials of Game Theory: A Concise Multidisciplinary Introduction
Yoav Shoham, Kevin Leyton-Brown
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Predicting Human Decision-Making: From Prediction to Action
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Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Sriraam Natarajan, Luc De Raedt, Kristian Kersting, David Poole
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Intelligent Autonomous Robotics: A Robot Soccer Case Study
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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
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Learning with Support Vector Machines
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Essential Principles for Autonomous Robotics
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Markov Logic: An Interface Layer for Artificial Intelligence
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A Short Introduction to Preferences: Between AI and Social Choice
Kristen Brent Venable, Francesca Rossi, Toby Walsh
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Planning with Markov Decision Processes: An AI Perspective
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Representations and Techniques for 3D Object Recognition and Scene Interpretation
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Case-Based Reasoning: A Concise Introduction
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Answer Set Solving in Practice
Roland Kaminski, Martin Gebser, Torsten Schaub, Benjamin Kaufmann
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Data Integration: The Relational Logic Approach
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A Concise Introduction to Models and Methods for Automated Planning
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Computational Aspects of Cooperative Game Theory
Edith Elkind, Michael Wooldridge, Georgios Chalkiadakis
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Introduction to Intelligent Systems in Traffic and Transportation
Franziska Klügl, Ana L. C. Bazzan
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Introduction to Semi-Supervised Learning
Andrew. B Goldberg, Xiaojin Zhu
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Judgment Aggregation: A Primer
Davide Grossi, Gabriella Pigozzi
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An Introduction to Constraint-Based Temporal Reasoning
K. Brent Venable, Robert A. Morris, Roman Barták
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Transfer Learning for Multiagent Reinforcement Learning Systems
Anna Helena Reali Costa, Felipe Leno Da Silva
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Graph-Based Semi-Supervised Learning
Partha Pratim Talukdar, Amarnag Subramanya
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Introduction to Logic Programming
Vinay K. Chaudhri, Michael Genesereth
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Robot Learning from Human Teachers
Sonia Chernova, Andrea L. Thomaz
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Learning and Decision-Making from Rank Data
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