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Introduction to Logic Programming

Michael Genesereth Couverture souple

94,95 $

Introduction to Graph Neural Networks

Zhiyuan Liu Couverture souple

94,95 $

Essentials of Game Theory: A Concise Multidisciplinary Introduction

Kevin Leyton-Brown Couverture souple

42,95 $

Lifelong Machine Learning

Zhiyuan Chen Couverture souple

102,50 $

Graph Representation Learning

William L. Hamilton Couverture souple

87,95 $

Transfer Learning for Multiagent Reinforcement Learning Systems

Felipe Leno da Silva Couverture souple

94,95 $

Network Embedding: Theories, Methods, and Applications

Cheng Yang Couverture souple

94,95 $

Explainable and Interpretable Reinforcement Learning for Robotics

Aaron M. Roth Livre numérique Kobo

72,99 $ ~~Réduction sur le prix courant 90,10 $ à~~

2 formats offerts

Introduction to Symbolic Plan and Goal Recognition

Reuth Mirsky Couverture souple

87,95 $

Positive Unlabeled Learning

Kristen Jaskie Couverture souple

87,95 $

Explainable Human-AI Interaction: A Planning Perspective

Sarath Sreedharan Couverture souple

87,95 $

Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

Philip Osborne Couverture souple

87,95 $

Toward Robots That Reason: Logic, Probability & Causal Laws

Vaishak Belle Livre numérique Kobo

52,99 $ ~~Réduction sur le prix courant 65,53 $ à~~

2 formats offerts

Active Learning

Burr Settles Couverture souple

49,50 $

Toward Robots That Reason: Logic, Probability and Causal Laws

Vaishak Belle Couverture souple

65,95 $

Explainable and Interpretable Reinforcement Learning for Robotics

Aaron M. Roth Couverture souple

58,50 $

Explainable and Interpretable Reinforcement Learning for Robotics

Aaron M. Roth Couverture souple

87,95 $

Aucun article trouvé

Introduction to Logic Programming

Introduction to Graph Neural Networks

Essentials of Game Theory: A Concise Multidisciplinary Introduction

Lifelong Machine Learning

Graph Representation Learning

Transfer Learning for Multiagent Reinforcement Learning Systems

Network Embedding: Theories, Methods, and Applications

Explainable and Interpretable Reinforcement Learning for Robotics

Introduction to Symbolic Plan and Goal Recognition

Positive Unlabeled Learning

Explainable Human-AI Interaction: A Planning Perspective

Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

Toward Robots That Reason: Logic, Probability & Causal Laws

Active Learning

Toward Robots That Reason: Logic, Probability and Causal Laws

Explainable and Interpretable Reinforcement Learning for Robotics

Explainable and Interpretable Reinforcement Learning for Robotics

Articles récemment consultés

Synthesis Lectures on Artificial Intelligence and Machine Learning

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Aucun article trouvé

Introduction to Logic Programming

Introduction to Graph Neural Networks

Essentials of Game Theory: A Concise Multidisciplinary Introduction

Lifelong Machine Learning

Graph Representation Learning

Transfer Learning for Multiagent Reinforcement Learning Systems

Network Embedding: Theories, Methods, and Applications

Explainable and Interpretable Reinforcement Learning for Robotics

Introduction to Symbolic Plan and Goal Recognition

Positive Unlabeled Learning

Explainable Human-AI Interaction: A Planning Perspective

Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

Toward Robots That Reason: Logic, Probability & Causal Laws

Active Learning

Toward Robots That Reason: Logic, Probability and Causal Laws

Explainable and Interpretable Reinforcement Learning for Robotics

Explainable and Interpretable Reinforcement Learning for Robotics

Articles récemment consultés