Gymgrid
The gridworld environment contains simple environments in RL book and compatible with OpenAI-gym.
Installation
pip install gymgird
Usage
import gym
import gymgrid
env = env = gym.make('cliff-v0')
for i_episode in range(20):
observation = env.reset()
for t in range(100):
env.render()
print(observation)
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
if done:
print("Episode finished after {} timesteps".format(t+1))
break
env.close()
print("env closed")
Environments
- Sample1
- Sample2
- Cliff: Example 6.5: Cliff Walking
- WindyGridWorld: Exercise 6.9 Windy Gridworld with King's Moves
1 maintainer
Metadata
1 maintainer
Release files for gymgrid 1.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| gymgrid-1.1.0.tar.gz | 4.0 kB | Without provenance | Details for gymgrid-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| gymgrid-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for gymgrid-1.1.0-py3-none-any.whl |
Total release size: 10.9 kB
Release files / gymgrid-1.1.0.tar.gz
| Download URL | gymgrid-1.1.0.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
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Release files / gymgrid-1.1.0-py3-none-any.whl
| Download URL | gymgrid-1.1.0-py3-none-any.whl |
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| Size | 6.8 kB |
| Tags | Python 3 |
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