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cs.LG2025
RLVR-World: Training World Models with Reinforcement Learning
Jialong Wu, Shaofeng Yin, Ningya Feng +1
World models predict state transitions in response to actions and are increasingly developed across diverse modalities. However, standard training objectives such as maximum likeli…
cs.LG2023★ 1 cited
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng +5
Model-based reinforcement learning (MBRL) holds the promise of sample-efficient learning by utilizing a world model, which models how the environment works and typically encompasse…