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SAC Agent playing PandaReachDense-v3

This is a trained model of a SAC agent playing PandaReachDense-v3 using the stable-baselines3 library.

Usage (with Stable-baselines3)

Copy the code:

from stable_baselines3 import SAC

model = SAC("MultiInputPolicy", env, learning_rate = 0.00073, gamma = 0.98, gradient_steps = 64, verbose=1)
model.learn(5_000)
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