PPO playing MountainCar-v0 from https://github.com/sgoodfriend/rl-algo-impls/tree/983cb75e43e51cf4ef57f177194ab9a4a1a8808b
3cc5c1d
import pytest | |
import gym.spaces | |
import numpy as np | |
from rl_algo_impls.shared.policy.actor_critic import clamp_actions | |
def test_clamp_actions(): | |
action_space = gym.spaces.Box(low=-1, high=1, shape=(1,)) | |
actions = np.array([-1.5, 0, 1.5]) | |
clamped_actions = clamp_actions(actions, action_space, squash_output=False) | |
np.testing.assert_array_equal(clamped_actions, np.array([-1, 0, 1])) | |
action_space = gym.spaces.Box(low=-3, high=2, shape=(1,)) | |
actions = np.array([-1, 0, 1]) | |
clamped_actions = clamp_actions(actions, action_space, squash_output=True) | |
np.testing.assert_array_equal(clamped_actions, np.array([-3, -0.5, 2])) | |