持续的深度强化学习与任务无意识的政策蒸

Muhammad Burhan Hafez1, Kerim Erekmen2

  • 1School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom. burhan.hafez@soton.ac.uk.

Scientific reports
|December 31, 2024
PubMed
概括

本研究介绍了任务无意识的政策蒸 (TAPD),这是持续学习系统的新框架. TAPD使代理人能够有效地学习新任务而不会忘记旧任务,从而提高整体性能和可扩展性.

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