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ICML
2006
IEEE
16 years 5 months ago
Learning algorithms for online principal-agent problems (and selling goods online)
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
Vincent Conitzer, Nikesh Garera
ICML
2003
IEEE
16 years 5 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 5 months ago
Provenance management in curated databases
Curated databases in bioinformatics and other disciplines are the result of a great deal of manual annotation, correction and transfer of data from other sources. Provenance infor...
Peter Buneman, Adriane Chapman, James Cheney
ALT
2005
Springer
16 years 1 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
SI3D
2009
ACM
15 years 11 months ago
Egocentric affordance fields in pedestrian steering
In this paper we propose a general framework for local pathplanning and steering that can be easily extended to perform highlevel behaviors. Our framework is based on the concept ...
Mubbasir Kapadia, Shawn Singh, William Hewlett, Pe...