SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance

The offline-to-online (O2O) paradigm in reinforcement learning (RL) utilizes pre-trained models on offline datasets for subsequent online fine-tuning. However, conventional O2O RL algorithms typically require maintaining and retraining the large offline datasets to mitigate the effects of out-of-dis...

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Hauptverfasser:	Zhang, Liyu, Wu, Haochi, Wan, Xu, Kong, Quan, Deng, Ruilong, Sun, Mingyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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