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100
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SIGECOM
2009
ACM
15 years 8 months ago
2009
ACM
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
122
Voted
AAAI
2006
15 years 3 months ago
2006
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
108
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
101
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
104
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ISQED
2006
IEEE
15 years 8 months ago
2006
IEEE
— In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linea...