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PPO Agent Playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2.

Hyperparameters

{'exp_name': 'unit8-ppo-LunarLander-v2.2'
'env_id': 'LunarLander-v2'
'learning_rate': 0.00025
'seed': 1
'total_timestamps': 500000
'torch_deterministic': True
'cuda': True
'track': True
'wandb_project_name': 'ppo-implementation-details'
'wandb_entity': None
'capture_video': True
'num_envs': 8
'num_steps': 256
'anneal_lr': True
'gae': True
'gamma': 0.99
'gae_lambda': 0.95
'num_minibatches': 8
'update_epochs': 8
'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': 'YoavWigelman/ppo-LunarLander-v2'
'batch_size': 2048
'minibatch_size': 256}
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