# LG AI Research — [ICLR 2022] Part 3: Reinforcement Learning as a sequence modeling problem

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-07-20
- Category: research-paper
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=232
- Record: https://forck.live/items/4943-iclr-2022-part-3-reinforcement-learning-as-a-sequence-modeling-problem
- Subject: EXAONE

Decision Transformer (DT) and Generalized DT, which reformulate reinforcement learning as a sequence modeling problem using a transformer architecture, enabling stable policy learning via supervised learning without temporal difference learning.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=232:

> In the field of offline RL, a new paradigm called Decision Transformer (DT) was proposed in June of last year. In DT, the reinforcement learning problem was solved by transforming it into a problem commonly encountered in NLP — sequence modeling.

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Record: https://forck.live/items/4943-iclr-2022-part-3-reinforcement-learning-as-a-sequence-modeling-problem
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