no code implementations • 21 Sep 2022 • Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng
In comparison with the state-of-the-art RLlib, we empirically demonstrate the unique advantages of Lamarckian on benchmark tests with up to 6000 CPU cores: i) both the sampling efficiency and training speed are doubled when running PPO on Google football game; ii) the training speed is 13 times faster when running PBT+PPO on Pong game.
no code implementations • 28 Mar 2017 • Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning.
no code implementations • 27 Mar 2017 • Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
Sparse coding (SC) is an unsupervised learning scheme that has received an increasing amount of interests in recent years.