513 search results - page 12 / 103 » Metric learning for reinforcement learning agents |
110
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ROBOCUP
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
107
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ILP
2007
Springer
15 years 6 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
133
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IAT
2005
IEEE
15 years 6 months ago
2005
IEEE
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
101
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ESANN
2006
15 years 1 months ago
2006
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
81
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ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...