Towards data-efficient deployment of reinforcement learning systems
<p>A fundamental concern in the deployment of artificial agents in real-life is their capacity to quickly adapt to their surroundings. Traditional reinforcement learning (RL) struggles with this requirement in two ways. Firstly, iterative exploration of unconstrained environment dynamics yield...
| Tác giả chính: | |
|---|---|
| Tác giả khác: | |
| Định dạng: | Luận văn |
| Ngôn ngữ: | English |
| Được phát hành: |
2021
|
| Những chủ đề: |