metadata
tags:
- CartPole-v1
- 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: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_reward
value: 414.70 +/- 136.64
name: mean_reward
verified: false
PPO Agent Playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1.
Hyperparameters
This was trained with a decaying learning rate of 25e-5, clip-coef of 0.1 and 1 million timesteps.
Still not perfect but that was not the point. You can follow the full journey here for more info: https://github.com/MattStammers/PPO_Lander_Implementation