513 search results - page 16 / 103 » Metric learning for reinforcement learning agents |
98
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AAMAS
2007
Springer
15 years 17 days ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
97
Voted
ICONIP
2007
15 years 1 months ago
2007
The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
106
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ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
NIPS
2000
15 years 1 months ago
2000
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
ATAL
2009
Springer
15 years 7 months ago
2009
Springer