使用TF-Agents和LSTM构建多股票强化学习训练流程
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by ECNU-ICALK. Project details and file access are provided by the publisher.
ORIGINAL REPOSITORY
ECNU-ICALK/AutoSkill ↗GitHub activity
- Stars
- 610
- Forks
- 60
- Open issues and PRs
- 3
- Repository size
- ~287,488 KB
- Default branch
- main
- Created
- Feb 4, 2026
- Repository updated
- Nov 3, 2026
- Last push
- May 10, 2026
- Language
- Python
Topics agent-skills · continual-learning · experience-driven-lifelong-learning · self-evolving
Repository-wide figures from GitHub, checked Nov 4, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Availability
- Reference listing — files at the original project; no Dave AI download
- Fields of work
- Development & Engineering, Data & Analytics
- Roles
- ML / AI Engineer, Data Scientist, Backend Developer
- Specialties
- API
- Tools & integrations
- Tensorflow, Tf Agents
- Country applicability
- Country not specified
- Credit basis
- Repository publisher; individual authorship is not asserted
- Publisher
- ECNU-ICALK
- Official website
- https://github.com/ECNU-ICALK/AutoSkill/blob/main/SkillBank/ConvSkill/chinese_gpt4_8/%E4%BD%BF%E7%94%A8tf-agents%E5%92%8Clstm%E6%9E%84%E5%BB%BA%E5%A4%9A%E8%82%A1%E7%A5%A8%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0%E8%AE%AD%E7%BB%83%E6%B5%81%E7%A8%8B/SKILL.md
- Last checked
- Nov 5, 2026
- License
- Not specified
- Last record update
- Nov 5, 2026