1. 27 6月, 2018 2 次提交
  2. 26 6月, 2018 4 次提交
  3. 25 6月, 2018 2 次提交
  4. 22 6月, 2018 1 次提交
  5. 21 6月, 2018 3 次提交
  6. 20 6月, 2018 9 次提交
  7. 19 6月, 2018 3 次提交
  8. 15 6月, 2018 2 次提交
  9. 14 6月, 2018 2 次提交
    • G
      Adapt to fill_batch_size_like and make outputs between fast_infer and the... · 07126083
      guosheng 提交于
      Adapt to fill_batch_size_like and make outputs between fast_infer and the original python infer alignment in Transformer
      07126083
    • H
      Update fluid/DeepQNetwork models with Atari environment (#981) · 3ccb855b
      Hongsheng Zeng 提交于
      * DQN Atari based on RLLab
      
      * DQN Atari based on RLLab
      
      * DQN Atari based on RLLab
      
      * refactor code without RLLab framework
      
      * add module of saving and loading policy model
      
      * refactor code structure, add DoubleDQN and DuelingDQN modules
      
      * add fluid argmax, flatten utils
      
      * update README.md
      
      * udpdate replay memory
      
      * udpdate replay memory
      
      * update readme, code clean
      
      * clean code and fix codestyle
      
      * fix codestyle
      
      * update README.md
      
      * revisions|history->context, randint->random
      
      * revisions| add comment for max-pooling operation in atari
      3ccb855b
  10. 13 6月, 2018 1 次提交
  11. 11 6月, 2018 2 次提交
  12. 08 6月, 2018 2 次提交
  13. 07 6月, 2018 2 次提交
  14. 05 6月, 2018 1 次提交
  15. 04 6月, 2018 4 次提交