연간 데이콘 인공지능 비트 트레이더 경진대회

알고리즘 | 정형 | 회귀 | 금융 | 모의투자

  • moneyIcon Prize : 총 1,200만원
  • 860명 마감
Closed

 

쓸모 있을지는 모르겠지만? 정보공유 합니다 ㅎㅎ

2021.03.11 21:26 10,187 Views

https://github.com/huseinzol05/Stock-Prediction-Models


내용은 다음과 같습니다. 분량이 많아서 공부하기 좋을거같아요!


Deep learning model

  1. LSTM
  2. LSTM Bidirectional
  3. LSTM 2-Path
  4. GRU
  5. GRU Bidirectional
  6. GRU 2-Path
  7. Vanilla
  8. Vanilla Bidirectional
  9. Vanilla 2-Path
  10. LSTM Seq2seq
  11. LSTM Bidirectional Seq2seq
  12. LSTM Seq2seq VAE
  13. GRU Seq2seq
  14. GRU Bidirectional Seq2seq
  15. GRU Seq2seq VAE
  16. Attention-is-all-you-Need
  17. CNN-Seq2seq
  18. Dilated-CNN-Seq2seq


Agents

  1. Turtle-trading agent
  2. Moving-average agent
  3. Signal rolling agent
  4. Policy-gradient agent
  5. Q-learning agent
  6. Evolution-strategy agent
  7. Double Q-learning agent
  8. Recurrent Q-learning agent
  9. Double Recurrent Q-learning agent
  10. Duel Q-learning agent
  11. Double Duel Q-learning agent
  12. Duel Recurrent Q-learning agent
  13. Double Duel Recurrent Q-learning agent
  14. Actor-critic agent
  15. Actor-critic Duel agent
  16. Actor-critic Recurrent agent
  17. Actor-critic Duel Recurrent agent
  18. Curiosity Q-learning agent
  19. Recurrent Curiosity Q-learning agent
  20. Duel Curiosity Q-learning agent
  21. Neuro-evolution agent
  22. Neuro-evolution with Novelty search agent
  23. ABCD strategy agent



로그인이 필요합니다
0 / 1000
당쇠
2021.03.12 00:43

감사합니다.

킹왕짱정혁
2021.03.12 20:53

좋은 자료 감사합니다! 열심히 해봐야겠네요 ~ 강화학습도 공부할 수 있고 :)

감귤맨
2021.03.15 14:10

좋은 자료 감사합니다!