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» Multiagent simulation of learning environments
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SASO
2008
IEEE
14 years 2 months ago
Environment Mediated Multi Agent Simulation Tools
In this paper, we assess five tools that allow the specification and execution of Multi-agent based simulations. These tools are NetLogo, MASON, Ascape, RePastS and DIVAs
S. Arunachalam, Rym Zalila-Wenkstern, Renee Steine...
ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
14 years 1 days ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
14 years 29 days ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
E4MAS
2004
Springer
14 years 1 months ago
ELMS: An Environment Description Language for Multi-agent Simulation
This paper presents ELMS, a language used for the specification of multi-agent environments. This language is part of the MAS-SOC approach to the design and implementation of mult...
Fabio Y. Okuyama, Rafael H. Bordini, Antônio...