Selective imitation for efficient online reinforcement learning with pre-collected data
Deep reinforcement learning (RL) has emerged as a promising solution for autonomous devices requiring sequential decision-making. In the online RL framework, the agent must interact with the environment to collect data, making sample efficiency the most challenging aspect. While the off-policy metho...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959524001048 |
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