| Age | Commit message (Expand) | Author |
|---|---|---|
| 2016-01-08 | dirty hack: do not ever quit early | Florian Jung |
| 2016-01-08 | graphs | Florian Jung |
| 2016-01-08 | more doc | Florian Jung |
| 2016-01-08 | fixed neuronal network approach: | Florian Jung |
| 2016-01-08 | display range fix | Florian Jung |
| 2016-01-08 | --sleep flag | Florian Jung |
| 2016-01-07 | Update LICENSE.md | Florian Jung |
| 2016-01-07 | QNN stuff, does not work. lowered reward to 0.7 | Florian Jung |
| 2016-01-07 | fix bug | Florian Jung |
| 2016-01-07 | doc | Florian Jung |
| 2016-01-07 | episodic batch learning for QArray. probably broke NN. | Florian Jung |
| 2016-01-07 | configurable number of episodes | Florian Jung |
| 2016-01-06 | episode no-op | Florian Jung |
| 2016-01-06 | switchable NN/array | Florian Jung |
| 2016-01-05 | reduced neuron number to 40 | Florian Jung |
| 2016-01-05 | wider output | Florian Jung |
| 2016-01-05 | neuronal net. converges a bit. maybe. sometimes. slow. | Florian Jung |
| 2016-01-05 | abstract Q array through object | Florian Jung |
| 2016-01-05 | cleanup | Florian Jung |
| 2016-01-05 | remove policy evaluation | Florian Jung |
| 2016-01-05 | reinforcement learning homework | Florian Jung |
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index : maze-rlnn | |
| Reinforcement learning with a neuronal network as Q-function in a maze (toy example) | flo |
| summaryrefslogtreecommitdiff |