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fetch-push-dense-tqc

Reinforcement Learning
stable-baselines3
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FetchPushDense-v4
deep-reinforcement-learning
Eval Results (legacy)
Model card Files
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Update README.md

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@@ -40,7 +40,7 @@ from stable_baselines3.common.env_util import make_vec_env
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  gymnasium.register_envs(gymnasium_robotics)
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  # Load the trained model
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- model = TQC.load(best_model_path)
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  # Create the environment
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  env = make_vec_env("FetchPushDense-v4", n_envs=1)
 
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  gymnasium.register_envs(gymnasium_robotics)
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  # Load the trained model
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+ model = TQC.load("best-model.zip")
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  # Create the environment
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  env = make_vec_env("FetchPushDense-v4", n_envs=1)