70 search results - page 8 / 14 » Transfer Learning and Intelligence: an Argument and Approach |
ICALP
1998
Springer
13 years 11 months ago
1998
Springer
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...
SIGKDD
2000
13 years 7 months ago
2000
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
FLAIRS
2007
13 years 10 months ago
2007
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
AAAI
2007
13 years 10 months ago
2007
Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...
AAAI
2010
13 years 8 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...