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更新PPO，增加PER DQN

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johnjim0816
2022-11-14 21:35:28 +08:00
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注：点击对应的名称会跳到[codes](./codes/)下对应的算法中，其他版本还请读者自行翻阅
| 算法名称 | 参考文献 | 备注 |
| :-------------------------------------: | :----------------------------------------------------------: | :--: |
| [Policy Gradient](codes/PolicyGradient) | [Policy Gradient paper](https://proceedings.neurips.cc/paper/1999/file/464d828b85b0bed98e80ade0a5c43b0f-Paper.pdf) | |
| DQN-CNN | | 待更 |
| [DoubleDQN](codes/DoubleDQN) | [Double DQN Paper](https://arxiv.org/abs/1509.06461) | |
| [SoftQ](codes/SoftQ) | [Soft Q-learning paper](https://arxiv.org/abs/1702.08165) | |
| [SAC](codes/SAC) | [SAC paper](https://arxiv.org/pdf/1812.05905.pdf) | |
| [SAC-Discrete](codes/SAC) | [SAC-Discrete paper](https://arxiv.org/pdf/1910.07207.pdf) | |
| SAC-S | [SAC-S paper](https://arxiv.org/abs/1801.01290) | |
| DSAC | [DSAC paper](https://paperswithcode.com/paper/addressing-value-estimation-errors-in) | 待更 |
| 算法名称 | 参考文献 | 作者 | 备注 |
| :-------------------------------------: | :----------------------------------------------------------: | :--------------------------------------------------: | :--: |
| [Policy Gradient](codes/PolicyGradient) | [Policy Gradient paper](https://proceedings.neurips.cc/paper/1999/file/464d828b85b0bed98e80ade0a5c43b0f-Paper.pdf) | [johnjim0816](https://github.com/johnjim0816) | |
| [Monte Carlo](codes/MonteCarlo) | | [johnjim0816](https://github.com/johnjim0816) | |
| [DQN](codes/DQN) | | [johnjim0816](https://github.com/johnjim0816) | |
| DQN-CNN | | | 待更 |
| [PER_DQN](codes/PER_DQN) | [PER DQN Paper](https://arxiv.org/abs/1511.05952) | [wangzhongren](https://github.com/wangzhongren-code) | |
| [DoubleDQN](codes/DoubleDQN) | [Double DQN Paper](https://arxiv.org/abs/1509.06461) | [johnjim0816](https://github.com/johnjim0816) | |
| [SoftQ](codes/SoftQ) | [Soft Q-learning paper](https://arxiv.org/abs/1702.08165) | [johnjim0816](https://github.com/johnjim0816) | |
| [SAC](codes/SAC) | [SAC paper](https://arxiv.org/pdf/1812.05905.pdf) | | |
| [SAC-Discrete](codes/SAC) | [SAC-Discrete paper](https://arxiv.org/pdf/1910.07207.pdf) | | |
| SAC-S | [SAC-S paper](https://arxiv.org/abs/1801.01290) | | |
| DSAC | [DSAC paper](https://paperswithcode.com/paper/addressing-value-estimation-errors-in) | | 待更 |
## 3. 算法环境