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cs.LG2026
Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination
Jiaqi Li, Xinglong Zhang, Haibin Xie +3
Latent world models improve sample efficiency in continuous control by optimizing policies over imagined latent trajectories, but common neural transitions offer limited direct con…
cs.LG2025
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
Yunchang Ma, Tenglong Liu, Yixing Lan +4
In offline reinforcement learning, value overestimation caused by out-of-distribution (OOD) actions significantly limits policy performance. Recently, diffusion models have been le…