GlobalView
reinforcement learning

Showing items 1 - 7 of 7.

Add to Quick Collection   All 7 Results

  • First
  • Previous
  • 1
  • Next
  • Last
Sort:
 Add All Items to Quick Collection
Date: 2017
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1350307
Description: In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1321576
Description: The hierarchical organisation of distributed systems can provide an efficient decomposition for machine learning. This paper proposes an algorithm for cooperative policy construction for independent l... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1334366
Description: In this study on music learning, we develop an average reward based adaptive parameterisation for reinforcement learning meta-parameters. These are tested using an approximation of user feedback based... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1315875
Description: In a world of limited resources, scarcity and rivalry are central challenges for decision makers-animals foraging for food, corporations seeking maximal profits, and athletes training to win, all stri... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: thesis
Identifier: http://hdl.handle.net/1959.13/1052917
Description: Research Doctorate - Doctor of Philosophy (PhD)
Full Text: Full Text
Image Thumbnail
Date: 2013
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1042944
Description: Emotions are generated and modulated by many factors in the ever-changing surrounding environment. A new and challenging task is to emulate emotional responses on a robot that are caused by visual sti... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Creators: Mellor, Drew
Date: 2009
Language: eng
Resource Type: book
Identifier: http://hdl.handle.net/1959.13/917640
Description: Reinforcement learning (RL) consists of methods that automatically adjust behaviour based on numerical rewards and penalties. While use of the attribute-value framework is widespread in RL, it has lim... More
  • First
  • Previous
  • 1
  • Next
  • Last