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» Learning to Solve QBF
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145
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ICML
1998
IEEE
16 years 4 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
134
Voted
EPIA
2007
Springer
15 years 9 months ago
Generalization and Transfer Learning in Noise-Affected Robot Navigation Tasks
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
Lutz Frommberger
113
Voted
MCS
2005
Springer
15 years 9 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
ICALT
2006
IEEE
15 years 9 months ago
Mobile Learning: Is Anytime + Anywhere = Always Online?
The new e-learning trend, called mobile learning opens variety of questions to solve. To allow access to learning content anytime and anyplace a technique called hoarding is somet...
Anna Trifonova, Marco Ronchetti
97
Voted
ICML
2007
IEEE
16 years 4 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi