Robot Learning

Name: Robot Learning
Brand: Springer
SKU: 9780792393658
Price: 57690 HUF
Availability: InStock

Szerző: J. H. Connell, Sridhar Mahadevan

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

57 690 Ft

Building a robot that learns to perform a task has been acknowledged as one of the major challenges...

Információk a könyvről

Szerző

J. H. Connell, Sridhar Mahadevan

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1993

oldal

240

EAN

9780792393658

ISBN

0792393651

Enbook ID

01398193

Kiadó

Springer

Súly

1200

Méretek

155 x 235 x 19

Teljes leírás

Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.

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Robot Learning

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