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JohnJim0816
2021-03-31 15:37:09 +08:00
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@@ -19,9 +19,10 @@
## 运行环境
python 3.7、pytorch 1.6.0-1.7.1、gym 0.17.0-0.18.0
## 使用说明
对应算法文件夹下运行```main.py```即可
运行```main.py```或者```main.ipynb```
## 算法进度
| 算法名称 | 相关论文材料 | 环境 | 备注 |
@@ -29,17 +30,17 @@ python 3.7、pytorch 1.6.0-1.7.1、gym 0.17.0-0.18.0
| [On-Policy First-Visit MC](./MonteCarlo) | | [Racetrack](./envs/racetrack_env.md) | |
| [Q-Learning](./QLearning) | | [CliffWalking-v0](./envs/gym_info.md) | |
| [Sarsa](./Sarsa) | | [Racetrack](./envs/racetrack_env.md) | |
| [DQN](./DQN) | [DQN-paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | |
| [DQN-cnn](./DQN_cnn) | [DQN-paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | 与DQN相比使用了CNN而不是全链接网络 |
| [DQN](./DQN) | [DQN Paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | |
| [DQN-cnn](./DQN_cnn) | [DQN Paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | 与DQN相比使用了CNN而不是全链接网络 |
| [DoubleDQN](./DoubleDQN) | | [CartPole-v0](./envs/gym_info.md) | 效果不好，待改进 |
| Hierarchical DQN | [Hierarchical DQN](https://arxiv.org/abs/1604.06057) | | |
| Hierarchical DQN | [H-DQN Paper](https://arxiv.org/abs/1604.06057) | | |
| [PolicyGradient](./PolicyGradient) | | [CartPole-v0](./envs/gym_info.md) | |
| A2C | | [CartPole-v0](./envs/gym_info.md) | |
| A3C | | | |
| SAC | | | |
| [PPO](./PPO) | [PPO paper](https://arxiv.org/abs/1707.06347) | [CartPole-v0](./envs/gym_info.md) | |
| DDPG | [DDPG Paper](https://arxiv.org/abs/1509.02971) | [Pendulum-v0](./envs/gym_info.md) | |
| TD3 | [Twin Dueling DDPG Paper](https://arxiv.org/abs/1802.09477) | | |
| TD3 | [TD3 Paper](https://arxiv.org/abs/1802.09477) | | |
| GAIL | | | |