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» Using Learning in a Control Agent
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ECML
2006
Springer
15 years 6 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
143
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COLT
2010
Springer
15 years 16 days ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...
JSS
2007
115views more  JSS 2007»
15 years 2 months ago
A case study in re-engineering to enforce architectural control flow and data sharing
Without rigorous software development and maintenance, software tends to lose its original architectural structure and become difficult to understand and modify. ArchJava, a recen...
Marwan Abi-Antoun, Jonathan Aldrich, Wesley Coelho
SBIA
2004
Springer
15 years 7 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
NIPS
1996
15 years 3 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies