Quinto anno

Apprendimento per Rinforzo

Apprendimento per rinforzo e per imitazione: processi decisionali di Markov, equazioni di Bellman, Q-learning, DQN, gradiente della policy e PPO, behaviour cloning e DAgger, Gymnasium, Stable-Baselines3 e PufferLib, simulazione e Gaussian splatting, applicazioni.

9 articoli

Programma del corso

9 argomenti, nell'ordine del corso

100%completo

9 argomenti su 9 hanno una lezione completa

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