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https://github.com/vale981/ray
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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
from gym.spaces import Box
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import numpy as np
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from gym.envs.classic_control import PendulumEnv
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class StatelessPendulum(PendulumEnv):
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"""Partially observable variant of the Pendulum gym environment.
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https://github.com/openai/gym/blob/master/gym/envs/classic_control/
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pendulum.py
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We delete the angular velocity component of the state, so that it
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can only be solved by a memory enhanced model (policy).
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"""
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def __init__(self, config=None):
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config = config or {}
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g = config.get("g", 10.0)
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super().__init__(g=g)
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# Fix our observation-space (remove angular velocity component).
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high = np.array([1.0, 1.0], dtype=np.float32)
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self.observation_space = Box(low=-high, high=high, dtype=np.float32)
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def step(self, action):
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next_obs, reward, done, info = super().step(action)
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# next_obs is [cos(theta), sin(theta), theta-dot (angular velocity)]
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return next_obs[:-1], reward, done, info
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def reset(self):
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init_obs = super().reset()
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# init_obs is [cos(theta), sin(theta), theta-dot (angular velocity)]
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return init_obs[:-1]
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