#decision-transformer2 articles

2 articles

AINeutralarXiv – CS AI · 5d ago4/102

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Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning

Researchers introduce Return Augmented (REAG) method for Decision Transformer frameworks to improve offline reinforcement learning when training data comes from different dynamics than the target domain. The method aligns return distributions between source and target domains, with theoretical analysis showing it achieves optimal performance levels despite dynamics shifts.

AINeutralHugging Face Blog · Sep 84/107

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Train your first Decision Transformer

The article appears to be about training a Decision Transformer, which is a machine learning model that treats reinforcement learning as a sequence modeling problem. However, the article body is empty, making it impossible to provide specific details about the implementation or methodology discussed.