Title:
Niche Selection for Foraging Tasks in Multi-Robot Teams Using Reinforcement Learning
Niche Selection for Foraging Tasks in Multi-Robot Teams Using Reinforcement Learning
Author(s)
Balch, Tucker
Ulam, Patrick D.
Ulam, Patrick D.
Advisor(s)
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
We present a means in which individual members of a multi-robot team may allocate themselves into specialist and generalist niches in a multi-foraging task where there may exist a cost for generalist strategies. Through the use of reinforcement learning, we show that the members can allocate themselves into effective distributions consistent with those distributions predicted by optimal foraging theory. These distributions are established without prior knowledge of the environment, without direct communication between team members, and with minimal state.
Sponsor
Date Issued
2003
Extent
Resource Type
Text
Resource Subtype
Paper