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JMLR
2002
125views more  JMLR 2002»
14 years 9 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto
ROBOCUP
2007
Springer
159views Robotics» more  ROBOCUP 2007»
15 years 3 months ago
Model Checking Hybrid Multiagent Systems for the RoboCup
Abstract. This paper shows how multiagent systems can be modeled by a combination of UML statecharts and hybrid automata. This allows formal system cation on different levels of ab...
Ulrich Furbach, Jan Murray, Falk Schmidsberger, Fr...
AAI
2006
103views more  AAI 2006»
14 years 9 months ago
A generic time management service for distributed multi-agent systems
Multi-agent systems are well suited for building large software systems. A great deal of these complex systems includes process flows that are concerned with time or are even time...
Lars Braubach, Alexander Pokahr, Winfried Lamersdo...
AGENTS
2001
Springer
15 years 2 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
ITS
2004
Springer
204views Multimedia» more  ITS 2004»
15 years 3 months ago
FlexiTrainer: A Visual Authoring Framework for Case-Based Intelligent Tutoring Systems
The need for rapid and cost-effective development Intelligent Tutoring Systems with flexible pedagogical approaches has led to a demand for authoring tools. The authoring systems ...
Sowmya Ramachandran, Emilio Remolina, Daniel Fu