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» Measuring Agent Intelligence via Hierarchies of Environments
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ATAL
2011
Springer
12 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
ATAL
2006
Springer
14 years 20 days ago
Synergistic integration of agent technologies for military simulation
To perform large-scale coordination in real-world environments requires that many individually complex technologies come together to form integrated solutions. In this paper, we p...
Sean Owens, Paul Scerri, Robin Glinton, Bin Yu, Ka...
AAMAS
2002
Springer
13 years 8 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
IADIS
2003
13 years 10 months ago
A Mobile Agent Based Registration System
A mobile agent is a software agent that has the ability to transfer its program code, data and execution state across a network to a remote computer for execution. In this paper, ...
K. K. Wong, C. K. Heng, P. C. Leong, Ma-Tit Yap
AI
2011
Springer
13 years 4 months ago
Bounded approximate decentralised coordination via the max-sum algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...