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ICMLA
2010
13 years 6 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
AGENTS
1999
Springer
14 years 26 days ago
Agent Aided Aircraft Maintenance
Aircraft maintenance is performed by mechanics who are required, by regulation, to consult expert engineers for repair instructions and approval. In addition to their own experien...
Onn Shehory, Katia P. Sycara, Gita Sukthankar, Vic...
IPSN
2011
Springer
12 years 12 months ago
Exploration of path space using sensor network geometry
In a sensor network there are many paths between a source and a destination. An efficient method to explore and navigate in the ‘path space’ can help many important routing p...
Ruirui Jiang, Xiaomeng Ban, Mayank Goswami, Wei Ze...
SIGECOM
2003
ACM
154views ECommerce» more  SIGECOM 2003»
14 years 1 months ago
Exploring bidding strategies for market-based scheduling
A market-based scheduling mechanism allocates resources indexed by time to alternative uses based on the bids of participating agents. Agents are typically interested in multiple ...
Michael P. Wellman, Jeffrey K. MacKie-Mason, Danie...
DAGSTUHL
2003
13 years 10 months ago
The Autotelic Principle
— The paper focuses on the problem how a community of distributed agents may autonomously invent and coordinate lexicons and grammars. Although our earlier experiments have shown...
Luc Steels