Meta-reinforcement learning for mastering multiple skills and generalizing across environments in text-based games
Text-based games can be used to develop task-oriented text agents for accomplishing tasks with high-level language instructions, which has potential applications in domains such as human-robot interaction. Given a text instruction, reinforcement learning is commonly used to train agents to complete...
| Автори: | , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Association for Computational Linguistics
2021
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