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easy-rl/projects/codes/envs/README.md
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# 环境说明汇总
## 算法SAR一览
说明SAR分别指状态(S)、动作(A)以及奖励(R)下表的Reward Range表示每回合能获得的奖励范围Steps表示环境中每回合的最大步数
| Environment ID | Observation Space | Action Space | Reward Range | Steps |
| :--------------------------------: | :---------------: | :----------: | :----------: | :------: |
| CartPole-v0 | Box(4,) | Discrete(2) | [0,200] | 200 |
| CartPole-v1 | Box(4,) | Discrete(2) | [0,500] | 500 |
| CliffWalking-v0 | Discrete(48) | Discrete(4) | [-inf,-13] | [13,inf] |
| FrozenLake-v1(*is_slippery*=False) | Discrete(16) | Discrete(4) | 0 or 1 | [6,info] |
## 环境描述
[OpenAI Gym](./gym_info.md)
[MuJoCo](./mujoco_info.md)