26fb87433d
* remove multibuf * reward_metric * make fileds with empty Batch rather than None after reset * many fixes and refactor Co-authored-by: Trinkle23897 <463003665@qq.com>
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import gym
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import time
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from gym.spaces.discrete import Discrete
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class MyTestEnv(gym.Env):
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"""This is a "going right" task. The task is to go right ``size`` steps.
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"""
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def __init__(self, size, sleep=0, dict_state=False, ma_rew=0):
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self.size = size
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self.sleep = sleep
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self.dict_state = dict_state
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self.ma_rew = ma_rew
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self.action_space = Discrete(2)
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self.reset()
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def reset(self, state=0):
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self.done = False
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self.index = state
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return self._get_dict_state()
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def _get_reward(self):
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"""Generate a non-scalar reward if ma_rew is True."""
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x = int(self.done)
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if self.ma_rew > 0:
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return [x] * self.ma_rew
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return x
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def _get_dict_state(self):
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"""Generate a dict_state if dict_state is True."""
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return {'index': self.index} if self.dict_state else self.index
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def step(self, action):
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if self.done:
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raise ValueError('step after done !!!')
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if self.sleep > 0:
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time.sleep(self.sleep)
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if self.index == self.size:
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self.done = True
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return self._get_dict_state(), self._get_reward(), self.done, {}
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if action == 0:
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self.index = max(self.index - 1, 0)
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return self._get_dict_state(), self._get_reward(), self.done, \
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{'key': 1, 'env': self} if self.dict_state else {}
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elif action == 1:
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self.index += 1
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self.done = self.index == self.size
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return self._get_dict_state(), self._get_reward(), \
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self.done, {'key': 1, 'env': self}
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