Comments (1)
Finished most DQN part (4.3, up to date with what DQN v1.0 uses).
Need better understanding on NN.
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Related Issues (20)
- Basic fundamental/technical analysis learning. HOT 1
- Build anita_interface.py, the reward influencing framework. HOT 1
- Integrate Anita v2.0 with half_tael_v4.0. HOT 1
- Basic CNN learning.
- Refactor half_tael_v2.0 to work with DQN_2.5. HOT 1
- Investigate: Cost (loss) graph converges way too quick and smooth. HOT 1
- Replace hardcore setting in half_tael_v3.0 model to accept dynamic input. HOT 1
- Draft full documentation and manuals. HOT 1
- Draft a proper README.md. HOT 1
- Update CONTRIBUTING.md. HOT 1
- Refactor train_interface.py into multiple files for higher cohesion. HOT 1
- VISION of this project. HOT 2
- Add visualization.
- Draft User Manual for `anita_interface.py`. HOT 1
- Add LICENSES.md. HOT 1
- Support textual trade_log output. HOT 1
- Bugfix crashing when output dir not exist. HOT 1
- Update documentation for half_tael_v4.5. HOT 2
- Generate dynamic action_list base on input account currencies. HOT 1
- DQN v2.5 demo. HOT 1
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