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LAMAS
2005
Springer
15 years 11 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
INFORMATICALT
2002
72views more  INFORMATICALT 2002»
15 years 5 months ago
Simulation of Conflict in an Agent World: Access to Resources and Possibility of Termination of the Population
The goal of the paper is to create a model for investigating the character of relationships between the freedom and restrictions in the terrorism context, in order to find out how ...
Jaak Tepandi
AAAI
2010
15 years 7 months ago
Interactive Learning Using Manifold Geometry
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
Eric Eaton, Gary Holness, Daniel McFarlane
ATAL
2006
Springer
15 years 10 months ago
Agent interaction in distributed POMDPs and its implications on complexity
The ability to coordinate effectively is critical for agents to accomplish their goals in a multi-agent system. A number of researchers have modeled the coordination problem for m...
Jiaying Shen, Raphen Becker, Victor R. Lesser
AMKM
2003
Springer
15 years 11 months ago
Modeling Context-Aware Distributed Knowledge
This paper presents a multi-agent model to support decisionmaking in organizations. The model is characterized by being interactive, distributed, and incremental and by the use of...
Jorge Louçã