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145
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ICRA
2005
IEEE
15 years 10 months ago
2005
IEEE
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
110
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
138
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
138
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SODA
2001
ACM
15 years 6 months ago
2001
ACM
We explore the natural question of whether all NP-complete problems have a common restriction under which they are polynomially solvable. More precisely, we study what languages a...
143
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...