New Approach in Human-AI Interaction by Reinforcement-Imitation Learning
Reinforcement Learning (RL) provides effective results with an agent learning from a stand-alone reward function. However, it presents unique challenges with large amounts of environment states and action spaces, as well as in the determination of rewards. Imitation Learning (IL) offers a promising...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2021-03-01
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| Серія: | Applied Sciences |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2076-3417/11/7/3068 |
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