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» Using Learning in a Control Agent
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AAMAS
2002
Springer
15 years 3 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
ATAL
2005
Springer
15 years 9 months ago
Access control with safe role assignment for mobile agents
Mobile agent systems provide new perspectives for distributed e-commerce applications. Sea-of-Data (SoD) applications are those that need to process huge quantities of distributed...
Guillermo Navarro, Joan Borrell, Jose A. Ortega-Ru...
AIMSA
2008
Springer
15 years 10 months ago
The Agent Modeling Language (AMOLA)
This paper presents the Agent MOdeling LAnguage (AMOLA). This language provides the syntax and semantics for creating models of multi-agent systems covering the analysis and design...
Nikolaos I. Spanoudakis, Pavlos Moraitis
AAAI
2004
15 years 5 months ago
Machine Learning for Fast Quadrupedal Locomotion
For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. ...
Nate Kohl, Peter Stone
JNW
2008
116views more  JNW 2008»
15 years 4 months ago
The Tiny Agent - Wireless Sensor Networks Controlling Energy Resources
CSIRO is using wireless sensor network technology to deploy "tiny agents", working as autonomous controllers for individual pieces of electrical load/generation equipment...
Glenn Platt, Joshua Wall, Philip Valencia, John K....