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1 2 3 4 Step ×105 0 250 500 750 1000Episode Return ball in cup-catch 1 2 3 4 Step ×105 cartpole-swingup 1 2 3 4 Step ×105 ﬁnger-spin 1 2 3 4 Step ×105 walker-stand 1 2 3 4 Step ×105 walker-walk Figure 9: Adaptation performance of SCMA in th · 2024

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Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

cs.CV · 2025-02-14 · conditional · novelty 6.0

SCMA trains a policy-agnostic observation denoiser, using a pre-trained world model as a clean-distribution reference, and shows improved visual RL performance under distractions.

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Self-Consistent Model-based Adaptation for Visual Reinforcement Learning cs.CV · 2025-02-14 · conditional · none · ref 9
SCMA trains a policy-agnostic observation denoiser, using a pre-trained world model as a clean-distribution reference, and shows improved visual RL performance under distractions.

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