| Title |
Optimal Behavior is Easier to Learn than the Truth
|
|---|---|
| Published in |
Minds and Machines, February 2016
|
| DOI | 10.1007/s11023-016-9389-y |
| Pubmed ID | |
| Authors |
Ronald Ortner |
| Abstract |
We consider a reinforcement learning setting where the learner is given a set of possible models containing the true model. While there are algorithms that are able to successfully learn optimal behavior in this setting, they do so without trying to identify the underlying true model. Indeed, we show that there are cases in which the attempt to find the true model is doomed to failure. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Researcher | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Philosophy | 1 | 8% |
| Psychology | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2016.
All research outputs
#18,756,367
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Outputs from Minds and Machines
#273
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Outputs of similar age from Minds and Machines
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