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AAAI
1998
13 years 10 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies
AI
1998
Springer
13 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ATAL
2009
Springer
14 years 1 months ago
Adding incentives to file-sharing systems
Modern peer-to-peer file sharing systems rely heavily on the willingness of users to distribute files to others. A selfish user can choose to download a file and consume resou...
Aviv Zohar, Jeffrey S. Rosenschein
ICTAI
2009
IEEE
14 years 3 months ago
Managing Authorization Provenance: A Modal Logic Based Approach
Abstract—In distributed environments, access control decisions depend on statements of multiple agents rather than only one central trusted party. However, existing policy langua...
Jinwei Hu, Yan Zhang, Ruixuan Li, Zhengding Lu
ATAL
2005
Springer
14 years 2 months ago
Decentralized voting with unconditional privacy
The aggregation of conflicting preferences is a key issue in multiagent systems. Due to its universality, voting has a central role among preference aggregation mechanisms. Votin...
Felix Brandt, Tuomas Sandholm