1233 search results - page 139 / 247 » Reinforcement learning |
113
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
109
Voted
JCP
2008
15 years 1 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
106
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ATAL
2009
Springer
14 years 11 months ago
2009
Springer
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
ECML
1997
Springer
15 years 5 months ago
1997
Springer
\Ibots" (Integrating roBOTS) is a computer experiment in group learning. It is designed to understand how to use reinforcement learning to program automatically a team of robo...
93
Voted
TOG
2002
15 years 23 days ago
2002
The ability to learn is a potentially compelling and important quality for interactive synthetic characters. To that end, we describe a practical approach to real-time learning fo...