Lili_chen Decision Transformer Reinforcement Learning via Sequence Modeling 2021
[TOC] Title: Decision Transformer: Reinforcement Learning via Sequence Modeling Author: Lili Chen et. al. Publish Year: Jun 2021 Review Date: Dec 2021 Summary of paper The Architecture of Decision Transformer Inputs are reward, observation and action Outputs are action, in training time, the future action will be masked out. I believe this model is able to generate a very good long sequence of actions due to transformer architecture. But somehow this is not RL anymore because the transformer is not trained by reward signal …...