PPO Agent Playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 coded from scratch with CleanRL architecture.

Hyperparameters

{'exp_name': 'ppo',
 'seed': 1,
 'torch_deterministic': True,
 'cuda': True,
 'track': False,
 'wandb_project_name': 'cleanRL',
 'wandb_entity': None,
 'capture_video': True,
 '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': 'Nikhitha123/cleanrl-ppo-LunarLander-v2',
 'batch_size': 512,
 'minibatch_size': 128}
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