File size: 863 Bytes
1ea6518 42beb91 1ea6518 19d12ff 1ea6518 35799d5 1ea6518 19d12ff 1ea6518 35799d5 1ea6518 35799d5 1ea6518 19d12ff 1ea6518 35799d5 1ea6518 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_reward
value: 109.92 +/- 16.87
name: mean_reward
verified: false
---
# **Q-Learning** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
## Usage
```python
model = load_from_hub(repo_id="sayby/Reinforce-CartPole-v1", filename="model.pt")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["eval_seed"])
```
|