1. 08 4月, 2019 1 次提交
    • H
      implement of IMPALA with the newest parallel design (#60) · b28289ac
      Hongsheng Zeng 提交于
      * add IMPALA algorithm and some common utils
      
      * update README.md
      
      * refactor files structure of impala algorithm; seperate numpy utils from utils
      
      * add hyper parameter scheduler module; add entropy and lr scheduler in impala
      
      * clip reward in atari wrapper instead of learner side; fix codestyle
      
      * add benchmark result of impala; refine code of impala example; add obs_format in atari_wrappers
      
      * Update README.md
      b28289ac