Complexification through gradual involvement and reward Providing in deep reinforcement learning
Training a relatively big neural network within the framework of deep reinforcement learning that has enough capacity for complex tasks is challenging. In real life the process of task solving requires system of knowledge, where more complex skills are built upon previously learned ones. The same wa...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2024-12-01
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| Series: | Системный анализ и прикладная информатика |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/701 |
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