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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...

Повний опис

Збережено в:
Бібліографічні деталі
Автори: Neda Navidi, Rene Landry
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2021-03-01
Серія:Applied Sciences
Предмети:
Онлайн доступ:https://www.mdpi.com/2076-3417/11/7/3068
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