513 search results - page 13 / 103 » Metric learning for reinforcement learning agents |
91
Voted
ATAL
2004
Springer
15 years 5 months ago
2004
Springer
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
101
Voted
IAT
2003
IEEE
15 years 5 months ago
2003
IEEE
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
122
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ICMLA
2003
15 years 1 months ago
2003
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
111
Voted
KCAP
2009
ACM
15 years 7 months ago
2009
ACM
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
103
Voted
IJCAI
2007
15 years 1 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...