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135
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AI
1999
Springer
15 years 11 days ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
104
Voted
CCIA
2006
Springer
15 years 4 months ago
Improving the Team-work in Heterogeneous Multi-agent Systems: Situation Matching Approach
: This paper presents a method called "Situation Matching" that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above ...
Salvador Ibarra, Christian G. Quintero, Díd...
DAM
2008
69views more  DAM 2008»
15 years 23 days ago
Impact of memory size on graph exploration capability
A mobile agent (robot), modeled as a finite automaton, has to visit all nodes of a regular graph. How does the memory size of the agent (the number of states of the automaton) inf...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
130
Voted
AI
2011
Springer
14 years 7 months ago
Bounded approximate decentralised coordination via the max-sum algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...
99
Voted
CDC
2010
IEEE
14 years 7 months ago
A Switching strategy for robust cooperative exploration
Abstract-- This paper develops a switching strategy for networked mobile sensing agents to automatically decide when to perform individual exploration and when to perform cooperati...
Wencen Wu, Fumin Zhang