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Josh Creek
24 lines
899 B
Python
24 lines
899 B
Python
import numpy as np
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from rlgym_compat import GameState
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class ContinuousAction:
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"""
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Simple continuous action space. Operates in the range -1 to 1, even for the binary actions which are converted back to binary later.
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This is for improved compatibility, stable baselines doesn't support tuple spaces right now.
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"""
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def __init__(self):
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pass
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def get_action_space(self):
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raise NotImplementedError("We don't implement get_action_space to remove the gym dependency")
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def parse_actions(self, actions: np.ndarray, state: GameState) -> np.ndarray:
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actions = actions.reshape((-1, 8))
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actions[..., :5] = actions[..., :5].clip(-1, 1)
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# The final 3 actions handle are jump, boost and handbrake. They are inherently discrete so we convert them to either 0 or 1.
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actions[..., 5:] = actions[..., 5:] > 0
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return actions |