PPO Agent Playing LunarLander-v2

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

Hyperparameters

{'f': '/root/.local/share/jupyter/runtime/kernel-1742be3a-c9d5-4f9b-9f75-4156f724ad10.json'
'gym_id': 'LunarLander-v2'
'env_id': 'LunarLander-v2'
'learning_rate': 0.00025
'seed': 1
'total_timesteps': 100000
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'ppo-implementation-details'
'wandb_entity': None
'capture_video': False
'num_envs': 8
'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
'batch_size': 1024
'minibatch_size': 256}