PPO Agent playing MountainCar-v0

Model Details

• Model Name: ppo-MountainCar-v0
• Model Type: Proximal Policy Optimization (PPO)
• Policy Architecture: MultiLayerPerceptron (MLPPolicy)
• Environment: MountainCar-v0
• Training Data: The model was trained using three consecutive training sessions:
  • First training session: Total timesteps = 1,000,000
  • Second training session: Total timesteps = 500,000
  • Third training session: Total timesteps = 500,000

Model Parameters