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cs.LG2026
Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization
Xiaoyuan Cheng, Wenxuan Yuan, Zhancun Mu +5
Model-based reinforcement learning (RL) can be effectively supported at scale through the use of world models. However, in practice, scaling such approaches remains fundamentally l…
cs.LG2024
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
Haiping Ma, Aoqing Xia, Changqian Wang +2
Computerized Adaptive Testing (CAT) aims to select the most appropriate questions based on the examinee's ability and is widely used in online education. However, existing CAT syst…