Amazon cover image
Image from Amazon.com

Advances in Robot Learning [electronic resource] : 8th European Workhop on Learning Robots, EWLR-8 Lausanne, Switzerland, September 18, 1999 Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 1812Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000Edition: 1st ed. 2000Description: VIII, 172 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540400448
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Map Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically—Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots.
In: Springer Nature eBook
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Map Building through Self-Organisation for Robot Navigation -- Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning -- Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically—Rearranging Neural Network Approach -- How Does a Robot Find Redundancy by Itself? -- Learning Robot Control by Relational Concept Induction with Iteratively Collected Examples -- Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions -- A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment -- Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots -- Biologically-Inspired Visual Landmark Learning for Mobile Robots.

There are no comments on this title.

to post a comment.
© 2024 IIIT-Delhi, library@iiitd.ac.in