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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Evaluation results
- mean_reward on PandaReachDense-v3self-reported-0.25 +/- 0.11