Nov 1, 2023 · Abstract:Decision Transformer (DT) is an innovative algorithm leveraging recent advances of the transformer architecture in reinforcement ...
Oct 19, 2023 · This paper investigates transformer-based decision models through a hierarchical decision-making framework, and proposes two new transformer-based decision ...
We present a generalized framework for studying decision-making through sequential modeling by con- necting it with Hierarchical Reinforcement Learning. (Nachum ...
May 5, 2024 · $Decision Transformer (DT) is an innovative algorithm leveraging recent advances of the transformer architecture in reinforcement learning (RL).
This work introduces a general sequence modeling framework for studying sequential decision making through the lens of Hierarchical RL, and shows DT emerges ...
The Decision Transformer was proposed by “Decision Transformer: Reinforcement Learning via Sequence Modeling” by Chen L. et al.
Sep 21, 2022 · This paper presents a hierarchical algorithm for learning a sequence model from demonstrations. The high-level mechanism guides the low-level ...
People also ask
What are the advantages of hierarchical reinforcement learning?
How crucial is transformer in decision transformer?
What is decision making in reinforcement learning?
What is transformer reinforcement learning?
May 15, 2024 · Our paper Rethinking Decision Transformer via Hierarchical Reinforcement Learning has been accepted to ICML 2024.
A hierarchical reinforcement learning based optimization framework for ... 2022. Rethinking decision transformer via hierarchical reinforcement learning.