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AAMAS
2007
Springer
16 years 1 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
SEKE
2007
Springer
16 years 1 months ago
Adjudicator: A Statistical Approach for Learning Ontology Concepts from Peer Agents
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
Behrouz Homayoun Far, Abdel Halim Elamy, Nora Houa...
HICSS
2006
IEEE
115views Biometrics» more  HICSS 2006»
16 years 1 months ago
ACLE: A Communication Environment for Asynchronous Collaborative Learning
The popularity of distributed learning and the continued growth in the number of colleges and universities offering courses delivered entirely via asynchronous learning networks (...
Timothy J. Ellis, William Hafner
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
16 years 1 months ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
MM
2005
ACM
145views Multimedia» more  MM 2005»
16 years 1 months ago
Multiple instance learning for labeling faces in broadcasting news video
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann