See my banana-gym https://github.com/MartinThoma/banana-gym适用于极小的环境。
创建新环境
查看存储库的主页：
https://github.com/openai/gym/blob/master/docs/creating_environments.md https://github.com/openai/gym/blob/master/docs/creating_environments.md
步骤是：
- 创建具有 PIP 包结构的新存储库
它应该看起来像这样
gym-foo/
README.md
setup.py
gym_foo/
__init__.py
envs/
__init__.py
foo_env.py
foo_extrahard_env.py
有关其内容，请点击上面的链接。没有提到的细节特别是一些功能如何foo_env.py应该看起来像。查看示例并查看gym.openai.com/docs/ https://gym.openai.com/docs/有帮助。这是一个例子：
class FooEnv(gym.Env):
metadata = {'render.modes': ['human']}
def __init__(self):
pass
def _step(self, action):
"""
Parameters
----------
action :
Returns
-------
ob, reward, episode_over, info : tuple
ob (object) :
an environment-specific object representing your observation of
the environment.
reward (float) :
amount of reward achieved by the previous action. The scale
varies between environments, but the goal is always to increase
your total reward.
episode_over (bool) :
whether it's time to reset the environment again. Most (but not
all) tasks are divided up into well-defined episodes, and done
being True indicates the episode has terminated. (For example,
perhaps the pole tipped too far, or you lost your last life.)
info (dict) :
diagnostic information useful for debugging. It can sometimes
be useful for learning (for example, it might contain the raw
probabilities behind the environment's last state change).
However, official evaluations of your agent are not allowed to
use this for learning.
"""
self._take_action(action)
self.status = self.env.step()
reward = self._get_reward()
ob = self.env.getState()
episode_over = self.status != hfo_py.IN_GAME
return ob, reward, episode_over, {}
def _reset(self):
pass
def _render(self, mode='human', close=False):
pass
def _take_action(self, action):
pass
def _get_reward(self):
""" Reward is given for XY. """
if self.status == FOOBAR:
return 1
elif self.status == ABC:
return self.somestate ** 2
else:
return 0
使用您的环境
import gym
import gym_foo
env = gym.make('MyEnv-v0')
Examples
- https://github.com/openai/gym-soccer https://github.com/openai/gym-soccer
- https://github.com/openai/gym-wikinav https://github.com/openai/gym-wikinav
- https://github.com/alibaba/gym-starcraft https://github.com/alibaba/gym-starcraft
- https://github.com/endgameinc/gym-malware https://github.com/endgameinc/gym-malware
- https://github.com/hackthemarket/gym-trading https://github.com/hackthemarket/gym-trading
- https://github.com/tambetm/gym-minecraft https://github.com/tambetm/gym-minecraft
- https://github.com/ppaquette/gym-doom https://github.com/ppaquette/gym-doom
- https://github.com/ppaquette/gym-super-mario https://github.com/ppaquette/gym-super-mario
- https://github.com/tuzzer/gym-maze https://github.com/tuzzer/gym-maze
