Unterschiede
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| Beide Seiten, vorherige Überarbeitung Vorherige Überarbeitung Nächste Überarbeitung | Vorherige Überarbeitung | ||
| ef_informatik:machine-learning [2022-02-07 10:51] – [Syllabus] hof | ef_informatik:machine-learning [2022-03-29 09:58] (aktuell) – [Syllabus] hof | ||
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| Zeile 16: | Zeile 16: | ||
| * Hidden Markov Models (a tiny bit of theory) | * Hidden Markov Models (a tiny bit of theory) | ||
| * -> what if we cannot observe all the internal state? | * -> what if we cannot observe all the internal state? | ||
| - | * -> infer probability of hidden (latent) state from observations | + | * -> infer probability of hidden (latent) state from observations |
| - | * Reinforcement Learning | + | * Deep Reinforcement Learning |
| * Q-Function is not a table, but a neural network, which is trained by repeatedly running the game and updating the neuron states. | * Q-Function is not a table, but a neural network, which is trained by repeatedly running the game and updating the neuron states. | ||
| * builds on top of [[neuronales_netzwerk_handschrift: | * builds on top of [[neuronales_netzwerk_handschrift: | ||
| + | * Prereqs: | ||
| + | * OpenAI Gym environment: | ||
| + | * keras / tensorflow? | ||
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