56 lines
3.8 KiB
Markdown
56 lines
3.8 KiB
Markdown
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[Eng](https://github.com/JohnJim0816/reinforcement-learning-tutorials/blob/master/README_en.md)|[中文](https://github.com/JohnJim0816/reinforcement-learning-tutorials/blob/master/README.md)
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## Introduction
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This repo is used to learn basic RL algorithms, we will make it **detailed comment** and **clear structure** as much as possible:
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The code structure mainly contains several scripts as following：
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* ```model.py``` basic network model of RL, like MLP, CNN
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* ```memory.py``` Replay Buffer
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* ```plot.py``` use seaborn to plot rewards curve，saved in folder ``` result```.
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* ```env.py``` to custom or normalize environments
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* ```agent.py``` core algorithms, include a python Class with functions(choose action, update)
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* ```main.py``` main function
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Note that ```model.py```,```memory.py```,```plot.py``` shall be utilized in different algorithms，thus they are put into ```common``` folder。
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## Runnig Environment
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python 3.7.9、pytorch 1.6.0、gym 0.18.0
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## Usage
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run ```main.py``` or ```main.ipynb```, or run files with ```task```(like ```task1.py```)
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## Schedule
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| Name | Related materials | Used Envs | Notes |
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| :--------------------------------------: | :---------------------------------------------------------: | ------------------------------------- | :---: |
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| [On-Policy First-Visit MC](./MonteCarlo) | | [Racetrack](./envs/racetrack_env.md) | |
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| [Q-Learning](./QLearning) | | [CliffWalking-v0](./envs/gym_info.md) | |
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| [Sarsa](./Sarsa) | | [Racetrack](./envs/racetrack_env.md) | |
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| [DQN](./DQN) | [DQN-paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | |
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| [DQN-cnn](./DQN_cnn) | [DQN-paper](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) | [CartPole-v0](./envs/gym_info.md) | |
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| [DoubleDQN](./DoubleDQN) | | [CartPole-v0](./envs/gym_info.md) | |
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| [Hierarchical DQN](HierarchicalDQN) | [Hierarchical DQN](https://arxiv.org/abs/1604.06057) | [CartPole-v0](./envs/gym_info.md) | |
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| [PolicyGradient](./PolicyGradient) | | [CartPole-v0](./envs/gym_info.md) | |
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| A2C | [A3C Paper](https://arxiv.org/abs/1602.01783) | [CartPole-v0](./envs/gym_info.md) | |
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| A3C | [A3C Paper](https://arxiv.org/abs/1602.01783) | | |
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| SAC | [SAC Paper](https://arxiv.org/abs/1801.01290) | | |
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| [PPO](./PPO) | [PPO paper](https://arxiv.org/abs/1707.06347) | [CartPole-v0](./envs/gym_info.md) | |
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| [DDPG](./DDPG) | [DDPG Paper](https://arxiv.org/abs/1509.02971) | [Pendulum-v0](./envs/gym_info.md) | |
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| [TD3](./TD3) | [TD3 Paper](https://arxiv.org/abs/1802.09477) | HalfCheetah-v2 | |
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| GAIL | | | |
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## Refs
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[RL-Adventure-2](https://github.com/higgsfield/RL-Adventure-2)
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[RL-Adventure](https://github.com/higgsfield/RL-Adventure)
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