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» Using Learning in a Control Agent
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AAMAS
2002
Springer
13 years 7 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
14 years 1 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
14 years 2 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
13 years 9 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»
13 years 7 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....