File size: 1,269 Bytes
1acfd2c 23303b6 1acfd2c 9a1187f 23303b6 1acfd2c 23303b6 |
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 42 43 44 45 46 47 48 49 50 |
---
library_name: stable-baselines3
tags:
- MountainCar-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: MountainCar-v0
type: MountainCar-v0
metrics:
- type: mean_reward
value: -116.20 +/- 1.83
name: mean_reward
verified: false
---
# **PPO** Agent playing **MountainCar-v0**
This is a trained model of a **PPO** agent playing **MountainCar-v0**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
# Model Details
```python
- 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
```python
- n_steps: 2048
- batch_size: 64
- n_epochs: 8
- gamma: 0.999
- gae_lambda: 0.95
- ent_coef: 0.01
- max_grad_norm: 0.5
- Verbose: Enabled (Verbose level = 1)
``` |