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hub / github.com/BindsNET/bindsnet / driver

Function driver

bindsnet/environment/cue_reward.py:166–176  ·  view source on GitHub ↗
()

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164
165
166def driver():
167 steps = 200
168 cueSim = CueRewardSimulator()
169 cueSim.reset()
170
171 observations = np.zeros((steps, 24), dtype="int32")
172 for t in range(steps):
173 observations[t], reward, done, info = cueSim.step(0)
174
175 meanReward = observations[:, -1][observations[:, -1] != 0].mean()
176 print("Mean reward:", meanReward)
177
178
179if __name__ == "__main__":

Callers 1

cue_reward.pyFile · 0.70

Calls 3

resetMethod · 0.95
stepMethod · 0.95
CueRewardSimulatorClass · 0.85

Tested by

no test coverage detected