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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| Format: | Thesis |
| Language: | English |
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2023
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