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» Learning of Agents with Limited Resources
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ATAL
2009
Springer
13 years 12 months ago
Collaborative agent-based learning with limited data exchange
Xavier Rafael Palou, Michael Rovatsos
AAMAS
2007
Springer
13 years 11 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
ICML
2008
IEEE
14 years 6 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
ATAL
2008
Springer
13 years 7 months ago
Resource limitations, transmission costs and critical thresholds in scale-free networks
Whether or not a critical threshold exists when epidemic diseases are spread in complex networks is a problem attracting attention from researchers in several disciplines. In 2001...
Chung-Yuan Huang, Chuen-Tsai Sun, Chia-Ying Cheng,...
KI
2002
Springer
13 years 5 months ago
Empirically Grounded Decision-Theoretic Adaptation to Situation-Dependent Resource Limitations
This article summarizes research on several interrelated general issues that can arise in the design and development of user modeling systems: the learning and subsequent adaptati...
Thorsten Bohnenberger, Boris Brandherm, Barbara Gr...