daenielkim-66
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a2c-PandaReachDense-v3

Reinforcement Learning

stable-baselines3

PandaReachDense-v3

deep-reinforcement-learning

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daenielkim-66 commited on May 27

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@@ -26,7 +26,7 @@ model-index:
 This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). It controls a robotic arm to pick up balls.
-### What I did:
 Manually tuned hyperparameters by adding "learning_rate=0.0007, n_steps=5, gamma=0.99, gae_lambda=0.95" to the A2C model.
 ```
 model = A2C(policy = "MultiInputPolicy",

 This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). It controls a robotic arm to pick up balls.
+### What I did to improve the model:
 Manually tuned hyperparameters by adding "learning_rate=0.0007, n_steps=5, gamma=0.99, gae_lambda=0.95" to the A2C model.
 ```
 model = A2C(policy = "MultiInputPolicy",