Understanding representation learning for deep reinforcement learning

<p>Representation learning is essential to practical success of reinforcement learning. Through a state representation, an agent can describe its environment to efficiently explore the state space, generalize to new states and perform credit assignment from delayed feedback. These representati...

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Bibliografische gegevens
Hoofdauteur: Le Lan, C
Andere auteurs: Bellemare, M
Formaat: Thesis
Taal:English
Gepubliceerd in: 2023
Onderwerpen: