Fast adaptation via meta reinforcement learning
<p>Reinforcement Learning (RL) is a way to train artificial agents to autonomously interact with the world. In practice however, RL still has limitations that prohibit the deployment of RL agents in many real world settings. This is because RL takes long, typically requires human oversight, an...
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| Formato: | Thesis |
| Idioma: | English |
| Publicado: |
2022
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