Curiosity-driven algorithm for reinforcement learning
One problem of current Reinforcement Learning algorithms is finding a balance between exploitation of existing knowledge and exploration for a new experience. Curiosity exploration bonus has been proposed to address this problem, but current implementations are vulnerable to stochastic noise inside...
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| Muut tekijät: | , , , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2019
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/64268 |