Estimates of Parameter Distributions for Optimal Action Selection
Type of publication: | Idiap-RR |
Citation: | dimitrak-bengio_04-72 |
Number: | Idiap-RR-72-2004 |
Year: | 2004 |
Institution: | IDIAP |
Abstract: | We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distribution over actions in value-based reinforcement learning. While this approach is similar to other techniques that maintain a confidence measure for action-values, it nevertheless offers a new insight into current techniques and reveals potential avenues of further research. |
Userfields: | ipdmembership={learning}, |
Keywords: | |
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Idiap |
Authors | |
Added by: | [UNK] |
Total mark: | 0 |
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