Sciweavers

510 search results - page 26 / 102
» Cross-Domain Knowledge Transfer Using Structured Representat...
Sort
View
ATAL
2010
Springer
13 years 11 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
IJCAI
1989
13 years 11 months ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran
ANLP
1992
148views more  ANLP 1992»
13 years 11 months ago
The ACQUILEX LKB: representation issues in semi-automatic acquisition of large lexicons
We describe the lexical knowledge base system (LKB) which has been designed and implemented as part of the ACQUILEX project1 to allow the representation of multilinguM syntactic a...
Ann A. Copestake
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 10 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
ICTAI
2003
IEEE
14 years 3 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau