 Jan Löwenstrom
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7d3d097599
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add opening dialog to select all learning settings
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2020-04-07 11:03:17 +02:00 |
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Jan Löwenstrom
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740289ee2b
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add constant for default reward
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2020-04-02 14:01:37 +02:00 |
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Jan Löwenstrom
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eca0d8db4d
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create Dino Sampling state
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2020-03-26 19:22:50 +01:00 |
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Jan Löwenstrom
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ee1d62842d
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split Antworld into episodic and continuous task
- add new simple state for jumping dino, to see if convergence is guarenteed with with state representation
- changed reward structure for ant game
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2020-03-15 16:58:53 +01:00 |
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Jan Löwenstrom
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6613e23c7c
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Fixed new method name for MC
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2020-03-02 23:19:54 +01:00 |
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Jan Löwenstrom
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584d6a1246
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add javaFX gradle plugin and switch to java11 and add system.outs for error detecting
- The current implementation will not converge to the correct behaviour. See comment in MonteCarlo class for more details
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2019-12-10 15:37:20 +01:00 |
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Jan Löwenstrom
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db9b62236c
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add logic to handle ant action and compute rewards
- ant world will handle and compute action received by the agent
- first try to convert observations to markov states
- improved .equals() methods
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2019-12-08 16:03:00 +01:00 |
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Jan Löwenstrom
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66ee33b77f
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init the gradle project
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2019-12-06 13:11:29 +01:00 |