DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning
Transferring policies across domains poses a vital challenge in reinforcement learning, due to the dynamics mismatch between the source and target domains. In this paper, we consider the setting of online dynamics adaptation, where policies are trained in the source domain with sufficient data, while only limited interactions with the target domain are allowed. There are a few existing works that address the dynamics mismatch by employing domain classifiers, value-guided data filtering, or representation learning. Instead, we study the domain adaptation problem from a generative modeling persp
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- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-xl-base-1.0 →
“Fuzzy title match (0.73): “DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for ” ≈ “stabilityai/stable-diffusion-xl-base-1.0””
- FuzzySimilar title/name (fuzzy) · 59%CompVis/stable-diffusion-v1-4 →
“Fuzzy title match (0.73): “DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for ” ≈ “CompVis/stable-diffusion-v1-4””
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-3.5-large →
“Fuzzy title match (0.73): “DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for ” ≈ “stabilityai/stable-diffusion-3.5-large””
- PossiblePossibly related (embedding) · 46%RL without TD learning →
- FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for ” ≈ “aymericdamien/TopDeepLearning””
- LinkedLinked via arxiv author · 85%Hanyang Chen →
“DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning”
- LinkedLinked via arxiv author · 85%Anirudh Satheesh →
“DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning”
- LinkedLinked via arxiv author · 85%Longchao Da →
“DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning”