Results 71 to 80 of about 53,807 (165)
DADP: Domain Adaptive Diffusion Policy
CoRRLearning domain adaptive policies that can generalize to unseen transition dynamics, remains a fundamental challenge in learning-based control. Substantial progress has been made through domain representation learning to capture domain-specific information, thus enabling domain-aware decision making.
Pengcheng Wang 0004 +6 more
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Diffusion-Q Synergy (DQS): A Generative Approach to Policy Optimization via Denoised Action Spaces
Applied SciencesIn this paper, we propose a novel algorithm that integrates diffusion models with reinforcement learning, called Diffusion-Q Synergy (DQS). The methodology formalizes an equivalence relationship between the iterative denoising process in diffusion models
Ao Li, Xinghui Zhu, Haoyi Que
doaj +1 more source
Ciências Sociais Unisinos, 2013 This article aims to present the results of research that investigates social policies for poverty reduction of the Cardoso, Lula and Rousseff terms of office from the perspective of theoretical currents on international modeling and Policy Diffusion ...
Samira Kauchakje
doaj
Research on the diffusion models and transfer characteristic of local big data policy in China
大数据, 2019 To reveal the development trend and content relevance of local big data policy in China,based on the theory of policy diffusion and policy transfer,the models of time-space diffusion and the characteristics of content transfer for 68 local big data ...
Wenyao DING +3 more
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Detecting causality in policy diffusion processes. [PDF]
Chaos, 2016 Grabow C +3 more
europepmc +1 more source
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
Diffusion models have seen rapid adoption in robotic imitation learning, enabling autonomous execution of complex dexterous tasks. However, action synthesis is often slow, requiring many steps of iterative denoising, limiting the extent to which models can be used in tasks that require fast reactive policies.
Høeg, Sigmund H. +2 more
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Unpacking the Individual Components of Diffusion Policy
CoRRImitation Learning presents a promising approach for learning generalizable and complex robotic skills. The recently proposed Diffusion Policy generates robot action sequences through a conditional denoising diffusion process, achieving state-of-the-art performance compared to other imitation learning methods.
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The Diffusion of Morality Policies
, 2019 The field of morality policy lacks comparative analyses across laws that vary in the degree to which they reflect characteristics of morality policy. This study takes state-level Same Sex Marriage Bans, Medical Marijuana Laws and Anti-Obesity legislation in the USA as cases with varying levels of morality policy’s characteristics and investigates the ...
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DPTG: diffusion policy with tactile feasibility guidance. [PDF]
Front Robot AILiu J +6 more
europepmc +1 more source