- tags
- Transformers, GPT, Reinforcement learning
- paper
- (Chen et al. 2021)
Architecture
This is a decoder model that uses a GPT-like model to encode and predict trajectories for Reinforcement learning tasks. It has essentially the same characteristics as GPT.
Bibliography
- Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch. . "Decision Transformer: Reinforcement Learning via Sequence Modeling". arXiv. DOI.