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cs.LG2026
WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control
Mehran Aghabozorgi, Alireza Moazeni, Yanshu Zhang +1
Model-based reinforcement learning promises strong sample efficiency but often underperforms in practice due to compounding model error, unimodal world models that average over mul…
cs.LG2023
How Good Are Deep Generative Models for Solving Inverse Problems?
Shichong Peng, Alireza Moazeni, Ke Li
Deep generative models, such as diffusion models, GANs, and IMLE, have shown impressive capability in tackling inverse problems. However, the validity of model-generated solutions…