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» Learning the required number of agents for complex tasks
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FOCS
2008
IEEE
14 years 2 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
AAAI
2000
13 years 9 months ago
Making Rational Decisions Using Adaptive Utility Elicitation
Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
Urszula Chajewska, Daphne Koller, Ronald Parr
ITCC
2005
IEEE
14 years 1 months ago
Event-Based Blackboard Architecture for Multi-Agent Systems
Developing large multi-agent systems is a complex task involving the processes of the requirement, architecture, design and implementation of these systems. In particular, the arc...
Jing Dong, Shanguo Chen, Jun-Jang Jeng
AAAI
2008
13 years 10 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
AAMAS
2007
Springer
14 years 1 months ago
Auctions, Evolution, and Multi-agent Learning
For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. Th...
Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Ni...