GlobalView
multi-agent system

Showing items 1 - 6 of 6.

Add to Quick Collection   All 6 Results

  • First
  • Previous
  • 1
  • Next
  • Last
Sort:
 Add All Items to Quick Collection
Date: 2016
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1331077
Description: Cooperative reinforcement learning algorithms such as BEST-Q, AVE-Q, PSO-Q, and WSS use Q-value sharing strategies between reinforcement learners to accelerate the learning process. This paper present... More
Full Text: Full Text
Reviewed: Reviewed
Image Thumbnail
Date: 2016
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1344940
Description: This note deals with the distributed source localization problem by considering a group of unicycle-type agents. Without the need of GPS and compass, we develop a distributed source localization schem... 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
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/1959.13/1320693
Description: This paper addresses cooperative source localization with a group of mobile agents, for which the goal is to estimate the coordinate of a stationary source for each agent in its own local frame. It is... More
Reviewed: Reviewed
Date: 2011
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1065775
Description: A novel individual-based alignment/repulsion algorithm is proposed in this note for a flock of multiple agents. With this algorithm, each individual repels its sufficiently close neighbors and aligns ... More
Reviewed: Reviewed
  • First
  • Previous
  • 1
  • Next
  • Last