567 search results - page 96 / 114 » Regularized Policy Iteration |
184
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JMLR
2010
14 years 10 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
149
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
129
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
142
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
113
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CHI
2010
ACM
15 years 10 months ago
2010
ACM
This paper presents narrative pictograms, diagrams designed to convey the abstract concepts of a software agreement. Narrative pictograms arose out of a need to increase the chanc...