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JAIR
2008
119views more  JAIR 2008»
13 years 5 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
ACSC
2007
IEEE
14 years 3 days ago
Mutually Visible Agents in a Discrete Environment
As computer controlled entities are set to move and explore more complex environments they need to be able to perform navigation tasks, like finding minimal cost routes. Much wor...
Joel Fenwick, Vladimir Estivill-Castro
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
13 years 11 months ago
Multi-Agent Systems and Microeconomic Theory: A Negotiation Approach to Solve Scheduling Problems in High Dynamic Environments
Microeconomics offer a far developed theory on the subject of rational choice. This theory is applied to a multi-agent system, which has been modeled in order to establish schedul...
Hans Czap, Marc Becker
VIIP
2001
13 years 7 months ago
Collision Handling and Shadow Casting in Virtual-Prismaker
Abstract. Our research team is developing a computer construction game called VirtualPrismaker based on the physical game Prismakertm . We have had to deal with all typical and ess...
Víctor López-Jaquero, Antonio Fern&a...
AAAI
1998
13 years 7 months ago
Managing Multiple Tasks in Complex, Dynamic Environments
Sketchy planners are designed to achieve goals in realistically complex, time-pressured, and uncertain task environments. However, the ability to manage multiple, potentially inte...
Michael Freed