Optimistic exploration even with a pessimistic initialisation
Optimistic initialisation is an effective strategy for efficient exploration in reinforcement learning (RL). In the tabular case, all provably efficient model-free algorithms rely on it. However, model-free deep RL algorithms do not use optimistic initialisation despite taking inspiration from these...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
International Conference on Learning Representations
2020
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