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LAMAS
2005
Springer
14 years 28 days 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 ...
WSC
2004
13 years 8 months ago
Implementing a General Purpose Framework Using Multi-Agents for Construction Management Education
The need for contextually rich educational experiences in construction education has led researchers to explore alternatives using gaming and simulation environments. The work don...
Amlan Mukherjee, Eddy M. Rojas, William Winn
ICRA
2008
IEEE
146views Robotics» more  ICRA 2008»
14 years 1 months ago
Exploration of an incremental suite of microscopic models for acoustic event monitoring using a robotic sensor network
— Simulation is frequently used in the study of multi-agent systems. Unfortunately, in many cases, it is not necessarily clear how faithfully the details of the simulated model r...
Christopher M. Cianci, Jim Pugh, Alcherio Martinol...
MM
2010
ACM
123views Multimedia» more  MM 2010»
13 years 7 months ago
Coming together: negotiated content by multi-agents
In this paper, we describe a software system that generates unique musical compositions in realtime, created by four autonomous multi-agents. Given no explicit musical data, agent...
Arne Eigenfeldt
WSC
2007
13 years 9 months ago
Defense and homeland security applications of multi-agent simulations
Department of Defense and Homeland Security analysts are increasingly using multi-agent simulation (MAS) to examine national security issues. This paper summarizes three MAS natio...
Thomas W. Lucas, Susan M. Sanchez, Felix Martinez,...