README.md

metadata

tags:
  - LunarLander-v2
  - ppo
  - deep-reinforcement-learning
  - reinforcement-learning
  - custom-implementation
  - deep-rl-course
model-index:
  - name: PPO
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: LunarLander-v2
          type: LunarLander-v2
        metrics:
          - type: mean_reward
            value: '-31.80 +/- 97.97'
            name: mean_reward
            verified: false

PPO Agent Playing LunarLander-v2

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

Hyperparameters

{'repo_id': 'DContrerasF/ppo-own-LunarLander-v2'
'exp_name': 'ppo'
'gym_id': 'LunarLander-v2'
'learning_rate': 0.0005269970016124116
'seed': 1
'total_timesteps': 1000000
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'DeepRL'
'wandb_entity': None
'capture_video': False
'num_envs': 10
'num_steps': 2048
'anneal_lr': True
'gae': True
'gamma': 0.9951574251249592
'gae_lambda': 0.9195370888469532
'num_minibatches': 4
'update_epochs': 4
'norm_adv': True
'clip_coef': 0.2
'clip_vloss': True
'ent_coef': 0.0293151073593913
'vf_coef': 0.5
'max_grad_norm': 0.5
'target_kl': None
'batch_size': 20480
'minibatch_size': 5120}