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ppo_scratch-LunarLander-v2
Krecik940/ppo_scratch-LunarLander-v2
ppo_scratch-LunarLander-v2 is a reinforcement learning model from Krecik940. 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 PPO agent playing LunarLander-v2.
Access
Public
Updated Jul 27, 2026
Repo size
93.9 KB
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jul 27, 2026
- Updated
- Jul 27, 2026
- SHA
- 81ab82af
Model card
From the Hugging Face model README
PPO Agent Playing LunarLander-v2
This is a trained PPO agent playing LunarLander-v2.
Evaluation
Mean reward over the evaluation episodes: -178.99 +/- 95.32.
Hyperparameters
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLander-v2'
'total_timesteps': 50000
'learning_rate': 0.00025
'num_envs': 4
'num_steps': 128
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 4
'update_epochs': 4
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.01
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'repo_id': 'Krecik940/ppo_scratch-LunarLander-v2'
'skip_video': True
'eval_episodes': 10
'max_eval_steps': 2000
'max_video_steps': 2000
'local_save_dir': 'artifacts'
'batch_size': 512
'minibatch_size': 128}
- Task
- Reinforcement Learning
- Created
- Jul 27, 2026
- Updated
- Jul 27, 2026