Yatsrib / ppo-LunarLander-v2-second

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Model's Last Updated: June 26 2025
reinforcement-learning

Introduction of ppo-LunarLander-v2-second

Model Details of ppo-LunarLander-v2-second

PPO Agent Playing CartPole-v1

This is a trained model of a PPO agent playing CartPole-v1.

Hyperparameters

{'exp_name': 'ppo_test'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'CartPole-v1'
'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': 'Yatsrib/ppo-LunarLander-v2-second'
'batch_size': 512
'minibatch_size': 128}

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ppo-LunarLander-v2-second install

ppo-LunarLander-v2-second is an open source model from GitHub that offers a free installation service, and any user can find ppo-LunarLander-v2-second on GitHub to install. At the same time, huggingface.co provides the effect of ppo-LunarLander-v2-second install, users can directly use ppo-LunarLander-v2-second installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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