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ZZVic/ppo-LunarLander-v2-unit8
ppo-LunarLander-v2-unit8 is a reinforcement learning model from ZZVic. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained model of a PPO agent playing LunarLander-v2.
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Updated Dec 11, 2025
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2.
{'env_id': 'LunarLander-v2'
'total_timesteps': 500000
'num_envs': 4
'num_steps': 128
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 4
'update_epochs': 4
'learning_rate': 0.00025
'clip_coef': 0.2
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'anneal_lr': True
'clip_vloss': True
'seed': 1}