Sciweavers

45 search results - page 9 / 9
» Stigmergy in Multi Agent Reinforcement Learning
Sort
View
ATAL
2009
Springer
13 years 11 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
ATAL
2006
Springer
13 years 8 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
CCIA
2009
Springer
13 years 6 months ago
Interaction, observance or both? Study of the effects on convention emergence
Abstract. Social conventions are useful self-sustaining protocols for groups to coordinate behavior without a centralized entity enforcing coordination. The emergence of such conve...
Daniel Villatoro, Jordi Sabater-Mir, Sandip Sen
ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
13 years 10 months ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...
GECCO
2007
Springer
214views Optimization» more  GECCO 2007»
13 years 11 months ago
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
Sor Ying (Byron) Wong, Sonia Schulenburg