The Decision Transformer was proposed by “Decision Transformer: Reinforcement Learning via Sequence Modeling” by Chen L. et al. It casts (offline) Reinforcement Learning as aconditional-sequence modelingproblem. Specifically, DT model is a causal transformer model conditioned on the desired return, ...
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为了推动相关社区的发展,降低领域入门门槛,我们对 DT 的一些经典论文和前沿进展进行梳理,主要侧重 NeurIPS, ICLR, ICML 等机器学习顶会中的相关工作,相关论文列表已整理好放置于GitHub(https://github.com/opendilab/awesome-decision-transformer),并将会持续更新。 结语 我们将继续在 Awesome Decision Transformer 仓库...
这篇论文应该第一次是把transformer应用到RL领域,在github上的star也是达到了800,同期的一篇model-based的工作也是来自于UCB的RL + transformer的工作 [1]。其中最重要的contribution就是跳过了MDP的过程,如果…
https://github.com/kzl/decision-transformerhttps://arxiv.org/pdf/2106.01345.pdf 回到顶部(go to top) 二、Preliminaries 0x1:Offline reinforcement learning 考虑一个由元组(S、A、P、R)描述的马尔可夫决策过程(MDP), 状态s ∈ S 动作a∈ A
DecisionTransformer_StepbyStep Git Repo https://github.com/HzcIrving/DecisionTransformer_StepbyStepgithub.com/HzcIrving/DecisionTransformer_StepbyStep Intro Decision Transformer: A brand new Offline RL Pattern. 这是关于NeurIPS 2021热门论文Decision Transformer的复现。
To keep track of the rapid TransRL developments in the decision-making domains, we summarize the latest papers and their open-source implementations athttps://github.com/williamyuanv0/Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey.Weilin Yuan...
To keep track of the rapid TransRL developments in the decision-making domains, we summarize the latest papers and their open-source implementations athttps://github.com/williamyuanv0/Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey. 展开 ...
Designing better deep networks and better reinforcement learning (RL) algorithms are both important for deep RL. This work studies the former. Specifically, the Perception and Decision-making Interleaving Transformer (PDiT) network is proposed, which cascades two Transformers in a very natural way: th...
Application fields of transformers in biomedicine. Transformer image byhttps://github.com/dvgodoy/dl-visuals/ CC BY 4.0 Full size image Table1provides a glossary of concepts of AI that are discussed in this work. The mathematical details on transformers will not be elaborated in this work, howe...