Train your first Decision Transformer

The article introduces a tutorial for training a Decision Transformer, a model that leverages transformer architectures for decision-making tasks in reinforcement learning. It details the implementation of the model, including hyperparameter settings and training procedures, using a standard benchmark environment. This is significant for practitioners as it provides a practical guide to applying transformer models in RL, potentially improving sample efficiency and performance in complex decision-making scenarios.