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» A Game-Theoretic Approach to Apprenticeship Learning
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NIPS
2007
13 years 9 months ago
A Game-Theoretic Approach to Apprenticeship Learning
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
Umar Syed, Robert E. Schapire
TCSV
2010
13 years 2 months ago
Cooperative Peer-to-Peer Streaming: An Evolutionary Game-Theoretic Approach
While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which consequently leads to substanti...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
ICML
2010
IEEE
13 years 8 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...
ICML
2008
IEEE
14 years 8 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
ICNC
2005
Springer
14 years 1 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao