Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
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
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.