An Algorithmic Perspective on Imitation Learning (Foundations and Trends in Robotics) - Image 1

Out of Stock

This item is currently unavailable

Now Publishers An Algorithmic Perspective on Imitation Learning (Foundations and Trends in Robotics)

Name: An Algorithmic Perspective on Imitation Learning (Foundations and Trends in Robotics)
Brand: Now Publishers

Higher Education

Gone for 114 days. Could come back at any time — we're watching for you.

Out of stock 114 days · last price £83 · longest previous gap was 1 days

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 634 days • 634 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 634 days • 10 price levels

Days at Price

Current Price

Price Analysis

Most common price: £80 (241 days, 38.0%)

Price range: £73 - £83

Price levels: 10 different prices over 634 days

Description

As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a teacher to demonstrate a desired behavior rather than attempt to manually engineer it. This process of learning from demonstrations, and the study of algorithms to do so, is called imitation learning. An Algorithmic Perspective on Imitation Learning provides the reader with an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms developed to tackle the problem; and advice on effective tools and implementation. An Algorithmic Perspective on Imitation Learning serves two audiences. First, it familiarizes machine learning experts with the challenges of imitation learning, particularly those arising in robotics, and the interesting theoretical and practical distinctions between it and more familiar frameworks like statistical supervised learning theory and reinforcement learning. Second, it provides roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning. It pays particular attention to the intimate connection between imitation learning approaches and those of structured prediction.

Product Specifications

Brand: Now Publishers
Format: paperback
ASIN: 168083410X
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 27 March 2018
Listed Since: 28 March 2018

Barcode

No barcode data available

Now Publishers An Algorithmic Perspective on Imitation Learning (Foundations and Trends in Robotics)

Gone for 114 days. Could come back at any time — we're watching for you.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions

The Imitative Mind: Development, Evolution and Brain Bases: 6 (Cambridge Studies in Cognitive and Perceptual Development, Series Number 6)

Perspectives on Imitation, Volume 1: From Neuroscience to Social Science - Volume 1: Mechanisms of Imitation and Imitation in Animals (Social Neuroscience Series)

Intrinsically Motivated Learning in Natural and Artificial Systems

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents series)

Recent Advances in Soft Computing and Cybernetics: 403 (Studies in Fuzziness and Soft Computing, 403)

Robot Learning: 233 (The Springer International Series in Engineering and Computer Science, 233)

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Model-based Reinforcement Learning: A Survey (Foundations and Trends® in Machine Learning)

Social Learn&Imitation Ils 254 (International Library of Sociology)

Human-Robot Interaction Control Using Reinforcement Learning (IEEE Press Series on Systems Science and Engineering)

Machines That Learn: Based on the Principles of Empirical Control

Reinforcement Learning of Bimanual Robot Skills: 134 (Springer Tracts in Advanced Robotics, 134)

Artificial Intelligence and Robotics: 917 (Studies in Computational Intelligence, 917)

Imitation and the Social Mind: Autism and Typical Development

Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1

Reinforcement Learning for Decision & Optimal Control - Springer

Human-in-the-loop Learning and Control for Robot Teleoperation

Reinforcement Learning for Sequential Decision and Optimal Control

Robot Intelligence Technology and Applications 4: Results from the 4th International Conference on Robot Intelligence Technology and Applications: 447 ... in Intelligent Systems and Computing, 447)

Artificial Intelligence and Industrial Applications: Artificial Intelligence Techniques for Cyber-Physical, Digital Twin Systems and Engineering ... (Lecture Notes in Networks and Systems, 144)

Artificial Intelligence and Robotics: 752 (Studies in Computational Intelligence, 752)

Artificial Intelligence and Robotics: 752 (Studies in Computational Intelligence, 752)