RofuncRL DTrans (Decision Transformer)

Paper: “Decision Transformer: Reinforcement Learning via Sequence Modeling”. Chen et al. 2021. https://arxiv.org/abs/2106.01345

1.  Algorithm

Decison Transfer is an offline reinforcement learning method that learns a policy from a dataset of expert demonstrations. Unlike prior approaches to RL that fit value functions or compute policy gradients, Decision Transformer simply outputs the optimal actions by leveraging a causally masked Transformer. By conditioning an autoregressive model on the desired return (reward), past states, and actions, Decision Transformer model can generate future actions that achieve the desired return.