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JAIR
2010
77views more  JAIR 2010»
15 years 4 months ago
Resource-Driven Mission-Phasing Techniques for Constrained Agents in Stochastic Environments
Because an agent’s resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such a...
E. H. Durfee Wu, Edmund H. Durfee
ATAL
2009
Springer
16 years 21 days ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
UML
2005
Springer
15 years 11 months ago
Enhancement of Development Technologies for Agent-Based Software Engineering
Abstract. Current trends in software development show a move towards supporting autonomous components (agents). The accurate timing of interactions between such components is growi...
Andre Karpistsenko
164
Voted
AI
2008
Springer
15 years 6 months ago
Maintenance goals of agents in a dynamic environment: Formulation and policy construction
The notion of maintenance often appears in the AI literature in the context of agent behavior and planning. In this paper, we argue that earlier characterizations of the notion of...
Chitta Baral, Thomas Eiter, Marcus Bjäreland,...
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 5 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto