1325 search results - page 1 / 265 » Algorithm Selection using Reinforcement Learning |
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
111
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ECAI
2010
Springer
15 years 1 months ago
2010
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
91
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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...
134
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IJCAI
2007
15 years 1 months ago
2007
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
121
Voted
SAC
2005
ACM
15 years 6 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...