readme: ---
  tags:
  - Pong-PLE-v0
  - reinforce
  - reinforcement-learning
  - custom-implementation
  - deep-rl-class
  model-index:
  - name: pong-policy
    results:
    - task:
        type: reinforcement-learning
        name: reinforcement-learning
      dataset:
        name: Pong-PLE-v0
        type: Pong-PLE-v0
      metrics:
      - type: mean_reward
        value: -16.00 +/- 0.00
        name: mean_reward
        verified: false
  ---
  ## parameters
  pong_hyperparameters = { <br>
      "h_size": 64,<br>
      "n_training_episodes": 20000,<br>
      "n_evaluation_episodes": 10,<br>
      "max_t": 5000,<br>
      "gamma": 0.99,<br>
      "lr": 1e-2,<br>
      "env_id": env_id,<br>
      "state_space": s_size,<br>
      "action_space": a_size,<br>
  }<br>
    