513 search results - page 57 / 103 » Metric learning for reinforcement learning agents |
102
Voted
EURONGI
2005
Springer
15 years 6 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
77
Voted
NIPS
2004
15 years 1 months ago
2004
Psychologists call behavior intrinsically motivated when it is engaged in for its own sake rather than as a step toward solving a specific problem of clear practical value. But wh...
115
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IPOM
2007
Springer
15 years 6 months ago
2007
Springer
We present a framework of cognitive network management by means of an autonomic reconfiguration scheme. We propose a network architecture that enables intelligent services to meet ...
101
Voted
EWCBR
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
108
Voted
AE
2003
Springer
15 years 5 months ago
2003
Springer
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...