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ppo-BipedalWalker-v3
chirbard/ppo-BipedalWalker-v3
ppo-BipedalWalker-v3 is a reinforcement learning model from chirbard. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.
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.mp4330 KB · 47%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024
- SHA
- 9aa1aefb
Model card
From the Hugging Face model README
PPO Agent playing BipedalWalker-v3
This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.
Hyperparameters
model = PPO(
policy = 'MlpPolicy',
env = env,
n_steps = 1024,
batch_size = 64,
n_epochs = 4,
gamma = 0.99,
gae_lambda = 0.98,
ent_coef = 0.01,
verbose=1)
Train Time
Trained for 3 000 000 timesteps. Training took 1 hour and 8 minutes on Nvidia RTX A2000 Laptop.
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024