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cs.LG2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
Junbo Zhao, Xuefei Ning, Enshu Liu +7
Predictor-based Neural Architecture Search (NAS) employs an architecture performance predictor to improve the sample efficiency. However, predictor-based NAS suffers from the sever…
cs.LG2022
Model-based Reinforcement Learning with Multi-step Plan Value Estimation
Haoxin Lin, Yihao Sun, Jiaji Zhang +1
A promising way to improve the sample efficiency of reinforcement learning is model-based methods, in which many explorations and evaluations can happen in the learned models to sa…